Bioinformatics Jobs

The department of Computational Biology is seeking an experienced Principal-level Bioinformatics Research Scientist to provide direction and lead the development of pipelines for use in our clinical genomics program. The Clinical Genomics program at St. Jude Children’s Research Hospital started in 2013 as a pioneer in the use of whole genome sequencing for clinical testing. This position in the department of Computational Biology will play a key role in continuing our innovation in this space. The ideal candidate brings knowledge of cancer biology and stays abreast of current methods and trends in published literature. By leveraging this knowledge, working in productive collaboration with stakeholders, this role can proactively identify viable opportunities and effective solutions, thereby serving as a catalyst to innovation within the clinical genomics program. This role involves directing the efforts of the multidisciplinary team that performs end-to-end development of bioinformatics pipelines, including evaluation of existing methods, development of annotation and filtering strategies, and validation in accordance with CAP/CLIA requirements. This requires bioinformatics rigor applied in a clinical context where turnaround time limits, workflow considerations, and unique analytical performance criteria apply. Candidates must possess strong communication and interpersonal skills, as the position will engage regularly with pathologists, analysts, bioinformaticians, and engineers within the departments of Pathology and Computational Biology, as well as clinicians and scientists from various departments in the institution. Job Responsibilities: • Design and lead advanced analyses and deliver high-quality results in a timely manner by identifying new technologies and methodologies and recommend for adoption when appropriate. • Coordinate development of novel software tools and infrastructure as scientific and technical advisor, by contributing code and providing scientific guidance to developers. • Conceptualize, initiate, and lead manuscript preparation and submission of benchmarking results, new pipelines, databases, and scientific discoveries where appropriate. • Establish best practices and new protocols for analysis matching skills and expertise, and share protocols with St. Jude investigators through open documentation and hands-on training. • Assist in acquiring funding to support methods evaluation, development, and infrastructure. • Lead and coordinate the development of curriculum to educate the St. Jude community. • Is an independent project leader for large-scale projects and mentors junior staff. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $138,320 - $262,080 per year for the role of Principal Bioinformatics Research Scientist, Clinical Genomics. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The department of Computational Biology is seeking an experienced lead or principal-level bioinformatics research scientist to provide direction and lead the development of pipelines for use in our clinical genomics program. The clinical genomics program at St. Jude Children’s Research Hospital started in 2013 as a pioneer in the use of whole genome sequencing for clinical testing. This position in the department of Computational Biology will play a key role in continuing our innovation in this space. The ideal candidate brings knowledge of cancer biology and stays abreast of current methods and trends in published literature. By leveraging this knowledge, working in productive collaboration with stakeholders, this role can proactively identify viable opportunities and effective solutions, thereby serving as a catalyst to innovation within the clinical genomics program. This role involves directing the efforts of the multidisciplinary team that performs end-to-end development of bioinformatics pipelines, including evaluation of existing methods, development of annotation and filtering strategies, and validation in accordance with CAP/CLIA requirements. This requires bioinformatics rigor applied in a clinical context where turnaround time limits, workflow considerations, and unique analytical performance criteria apply. Candidates must possess strong communication and interpersonal skills, as the position will engage regularly with pathologists, analysts, bioinformaticians, and engineers within the departments of Pathology and Computational Biology, as well as clinicians and scientists from various departments in the institution. Job Responsibilities: • Design and lead advanced analyses and deliver high-quality results in a timely manner by identifying new technologies and methodologies and recommend for adoption when appropriate. • Coordinate development of novel software tools and infrastructure as scientific and technical advisor, by contributing code and providing scientific guidance to developers. • Conceptualize, initiate, and lead manuscript preparation and submission of benchmarking results, new pipelines, databases, and scientific discoveries where appropriate. • Establish best practices and new protocols for analysis matching skills and expertise, and share protocols with St. Jude investigators through open documentation and hands-on training. • Assist in acquiring funding to support methods evaluation, development, and infrastructure. • Lead and coordinate the development of curriculum to educate the St. Jude community. • Is an independent project leader for large-scale projects and mentors junior staff. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $138,320 - $262,080 per year for the role of Lead/Principal Bioinformatics Research Scientist, Clinical Genomics. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Senior Scientist, Bioinformatics (Translational Science & Experimental Medicine) Introduction to role: We are looking for an experienced statistical geneticist to join our Data Science & Bioinformatics team. You will be part of the Translational Science and Experimental Medicine (TSEM) department in the Respiratory and Immunology therapeutic area. As a department, we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular level, identify the most effective targets, and the right patient populations. Accountabilities: In this role, you will work in a highly cross-functional and thriving environment together with specialists in sequencing, immunological and respiratory disease, as well as with other data science & bioinformatics experts. We are looking for an outstanding bioinformatician that has experience in bringing actionable insight from large genomic cohorts to deliver precision medicine proposals. This will be done through integration of genomic data with other omic datasets (proteomics, transcriptomics) to understand disease biology. The relevance of the findings will be established through further integration with clinical and real-world evidence data. You will contribute to the computational biology and genomic strategies and be responsible for the design, refinement, application, and interpretation of novel approaches to analyze large-scale genomics data accompanied by rich biomarker, phenotype, and disease case/control data available through clinical trials or biobank collections. By applying these powerful statistical methods, you will maximize the knowledge extrapolated from our growing genomics data in complex diseases impacting the project progression and future treatment options for patients with unmet medical needs. Essential Skills/Experience: • Master’s degree in bioinformatics, data science, statistics, biostatistics, mathematics, or another similar subject area with 2+ years of industry experience or a PhD in bioinformatics, data science, statistics, biostatistics, mathematics, or another similar subject area with 1+ years of industry experience. • Expertise in large-scale genomic and phenotypic data analysis to analyze causal variants and derive biological insight (e.g., QTL analysis, pathway analysis, Mendelian randomization, and others). You will be responsible for designing and performing analysis, interpretation, and communication of results. • Excellent coding skills in Python, R, or similar language appropriate for large-scale genomics analysis and experience with version control (Git/Bitbucket). • Solid understanding of life sciences and how omics data can be used to derive biological insight. • Outstanding communication and collaboration skills, both with experts and non-experts, and with peers as well as stakeholders is expected. Our team is a collaborative group, so the ability to be comfortable working in a goal-oriented way, with a team-focused approach is central to being successful in the role. • A high degree of independence and a proactive and delivery-focused approach. Desirable Skills/Experience: • Experience in pharmaceutical R&D and/or Post-doc experience. • Molecular understanding of human diseases, patient stratification, and biomarker-based endpoint generation, preferentially in respiratory and immunological disorders. • Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting. • Broad experience applying machine learning methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context. • Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g., AWS or Azure). • Experience leading projects with internal groups/external collaborators and working within cross-functional teams. • Experience applying your understanding of life sciences and how omics data can be used to derive biological insight across different phases of pharmaceutical discovery and development. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca offers an environment where you can thrive alongside a community of highly qualified and motivated scientists. We foster continuous knowledge sharing and constructive critique to push our science forward. Our supportive yet challenging approach ensures that every setback is seen as an opportunity to improve, driving us towards groundbreaking solutions that make a tangible difference for patients worldwide. Ready to make a difference? We are accepting applications through November 21st. Apply today to join our team! The annual base pay (or hourly rate of compensation) for this position ranges from $108,778 to $163,167. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Date Posted 12-Nov-2024 Closing Date 21-Nov-2024Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law. Tagged as: Computer Science, Data Science, Life Sciences

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.Key Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe pay range for this position at commencement of employment is expected to be between $144,000 and $216,000/year; however, while salary ranges are effective from 1/1/24 through 12/31/24, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-cultureBenefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewardsCommitment to Diversity & Inclusion: The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

About MyOme MyOme's mission is to provide clinically-actionable genetic information to patients throughout their lives. To achieve this goal, we combine clinical-grade sequencing, advanced methods for genome interpretation, and easy portals for doctors and patients to order tests and access results. We firmly believe that patients own their data, and we empower them to share that data however they choose. We are led by seasoned entrepreneurs and scientists, and backed by an elite group of investors. Job Description MyOme is looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. Responsibilities • Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data • Identify and develop tools for NGS data analysis including structural variant detection • Develop and test algorithms for incorporation into a production pipeline • Design and implement quality control processes • Help design and conduct clinical validation study plans and reports • Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards Skills And Experience • Master’s degree (PhD preferred) in computational biology, computer science or a related field • 3+ years experience in industry analyzing NGS data • Coding fluency such as Python or R • Experience with packages such as bwa, bcftools, samtools • Experience working with large genetic datasets such as UK Biobank, eMerge, and dbGAP. • Ability to implement new tools and evaluate open source tools quickly • Familiarity with genomic databases such as NCBI, Ensembl • Experience with detecting and interpreting different types of genetic variants • Experience managing computational tasks in a cloud environment (AWS or GCP). • Solid understanding of the Linux environment and shell scripting • Experience working with long-read technology (Nanopore, PacBio) a plus • Experience with Nextflow a plus • Excellent communication and presentation skills • Experience working in a remote team (preferred) Location, Compensation, and Benefits Location: Hybrid preferred; Menlo Park, CA 2 days/week or fully remote Compensation: 120K-150K/year depending on experience; equity; and the following benefits: • Company-paid health/vision/dental benefits • 401K and equity option • Company-sponsored meals and snacks • Commuter benefits and shuttles to train stations • Vacations and generous sick time Diversity, Inclusion, and Equal Opportunity MyOme needs people of diverse backgrounds in order to build healthcare that serves diverse patients. Diversity includes all of the dimensions of a person's being, not just race, gender identity, age, disability status, veteran status, sexual orientation, or religion. Our employees are people with different strengths, experiences and backgrounds, and who share a passion for improving people's lives and lifting up those around them. All of our employee’s points of view are key to our success, and fostering inclusion is an expectation of all of our employees. MyOme is an Equal Opportunity Employer. Why Work at MyOme? Come work with us, but only if you: • Like to work with incredibly passionate people that aspire to change the way people engage with their health at a genetic level • Like to be challenged daily by the work but also people that are smart and leaders in their respective functions • Are comfortable with the early-stage nature of companies including the ambiguity that comes with it • Enjoy challenging tasks that will push you to your limits but also help you grow along with the company • Like competitive compensation, including equity in a company backed by world-class investors and led by an experienced team that have previously formed several successful companies • Enjoy unlimited PTO, health, dental and vision benefits

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a full time Sr. Bioinformatics Analyst to work in the UHealth Medical campus in Miami, FL. The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics Analyst also assumes responsibility for the development and maintenance of novel bioinformatics methods. CORE JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. Department Specific Functions: As a Sr. Bioinformatics Analyst, you will be responsible for the bioinformatics and data analytics needs of the PSR. • Be actively involved in mass-spectrometry based proteomics data generation, processing, quality assurance analytics and visualization. • Organize, maintain, and version control FASTA formatted databases for protein and peptide ID searches. • Manipulate RNA-seq data for searching against mass spectrometry-based protein and peptide mass and intensity data. • Perform searches to translation m/z and intensity data in the amino acid sequence information and assemble that data into protein-based results. • Perform statistical analysis on label free quantitation, SILAC, and mass barcode (TMT) results to generate volcano plots and results in other visualization space(s). This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s Degree in relevant field. Master’s or PhD preferred in bioinformatics, applied mathematics, or large data analysis. Experience: Minimum 3 years of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • R-scripting and/or pearl scripting skills required. • Exceptional computer skills. • Excellent written and verbal communication skills. • Proficiency in MaxQuant, Sequest, Mascot, and Proteome Discoverer software tools. • Self-starter, diligent individual contributor, as well as delightful to work in a team environment. • Desire to apply proteomics towards improving quality of life and improving cancer diagnosis and care. • A strong publication record is desired but not required. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A11

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Biochemistry & Molecular Biology has an exciting opportunity for a Senior Bioinformatics Analyst position. The incumbent is available within the Telonis lab at the Department of Biochemistry and Molecular Biology, University of Miami, Florida for a basic research project studying the role of gene architecture in regulating gene expression in normal physiology and in disease, including cancer. Our previous work has demonstrated that stem cells express genes of a specific architecture and retrotransposon content but as stem cells differentiate they express genes with a different underlying structure, particularly of the respective introns (BMC Biol 2021 19(1):60; Nat Commun 13(1):6524). We are seeking a highly talented and motivated computer scientist to join the lab. The candidate should demonstrate expertise in software development, with emphasis in algorithms analyzing biological “omic” data, e.g. RNA-sequencing, ATAC-seq, HiC, ChIP-seq. Prior experience in machine learning (artificial intelligence, AI) is preferred but not required. It is expected that the candidate will have the ability to develop, curate and maintain novel AI-based computational pipelines or apply existing bioinformatic tools for biological discovery. JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS • Bachelor’s Degree in relevant field; Masters in computer science, or bioinformatics- preferred. • Minimum 3 years of relevant experience Department Specific Functions • Being responsible for the curation and analysis of “omic” biological data, including data from RNA-sequencing, DNA methylation, ChIP-seq, ATAC-seq, HiC experiments. • Development, maintaince and optimize computational software (“pipelines”) for the analysis and mining of “omic” biological data, considering factors like load time. • Developing and applying machine learning (Artificial Intelligence, AI) algorithms for answering biological questions on “omic” datasets. • Work with version control systems to manage the lab’s code repositories and facilitate team collaboration. • Assist with other lab members’ research and coding efforts, including code review to ensure code quality, performance and share knowledge. • Participate in scheduled lab meetings within the lab, department or with collaborators. • Evidence of scholarly ability (e.g. record of publication in peer-reviewed journals). #LI-GD1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A11

Description ICF seeks a Bioinformatics Analyst to support and grow our Health Analytics, Research, and Technology (HART) line of business. As a Bioinformatics Analyst, the successful candidate will perform data analysis and curation activities and support bioinformatics requirements for our clients within the federal government. This position will be responsible for data processing including interpreting, curating, and harmonizing clinical, genomic, proteomic and metabolomic data associated with tumor characterization from large scale proteogenomic programs. Responsibilities: • Provide bioinformatics services to assist scientific problem-solving in a broad range of research topics. • Analyze large molecular datasets such as proteomic data, and genomic data for clinical or basic research purposes. • Assist with the data curation activities for the scientific databases including working with scientists, publication research, and verification. • Provide support for approaches, processes, and methods for the management, integration, analysis, and visualization of data from different data sources. • Assist in management of genomic, proteomic, and other multiomic data and annotation resources. • Standardize the biomedical data using common data elements, terminologies, and controlled vocabularies • Assists in preparation of presentations at scientific meetings, documentation for scientific processes. • Develop custom scripts and software to automate scientific data analysis using Python, Per/BioPerl, R, and/or Java. • Assist in the development and maintenance of specialized, high-performance databases for different aspects of ‘omics analysis. Basic Qualifications: • Master’s in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field. • 1+ year of experience working with biological and clinical data, particularly in genomics, proteomics, or multi-omics, with familiarity in relevant data structures and formats. • 1+ year of experience in data curation, including cleaning, transforming, and annotating raw data, and proficient in using controlled vocabularies and ontologies to ensure consistent and accurate data integration and retrieval. • 1+ year of experience in bioinformatics data analysis, including setting up and running pipelines for large-scale omics data in cloud or local environments. • 1+ year of experience in Python and R for data processing, analysis, and integration. • 1+ year of experience with SQL databases (e.g., MySQL, PostgreSQL) for structured data and NoSQL databases (e.g., MongoDB, Elasticsearch) for unstructured data, with the ability to integrate and retrieve data from both types in bioinformatics applications. • 1+ year of experience with cloud-based data platforms and APIs (e.g., AWS, Google Cloud). Preferred Qualifications : • Ph.D. in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field. • Experience building or querying knowledge graphs, particularly for biomedical data. • Familiarity with applying machine learning and natural language processing techniques. • Experience working in an Agile environment • Familiarity with libraries or tools for data visualization (e.g., Plotly, ggplot2, Circos, Shiny, D3.js) to present complex data in user-friendly formats. • Experience with workflow management tools (e.g., Snakemake, Nextflow, Cromwell) to automate and optimize data analysis pipelines. Professional Skills: • Strong communication skills to collaborate effectively with software engineers, scientists and other team members. • Ability to document methods and workflows thoroughly. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process. Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $63,511.00 - $107,968.00 Nationwide Remote Office (US99)