Bioinformatics Jobs

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. Additional Information • Schedule: Full-time • Job Code: 4752 • Employee Status: Regular • Grade: I • Requisition ID: 104983 • Work Arrangement : Hybrid Eligible

SHIFT: Day (United States of America) Bioinformatics Engineer I – Children’s Hospital of Philadelphia (Philadelphia, PA): Support computational environments focused on the management, transfer, formatting, and general processing of complex data types associated with genomics and proteomics. Duties include: develop large-scale bioinformatics pipelines with NGS data such as Whole Genome Re-sequencing, Whole Exome Sequencing, and Small RNA analysis; facilitate the efficient transfer of bioinformatics data from data sources to data users, with benchmarking and data quality checks, and troubleshoot data quality issues or discrepancies; implement bioinformatics processing, storage, and the manipulation of bioinformatics data in a cloud environment; evolve processes for effectively using large-scale, cloud-based, bioinformatics storage frameworks; identify and test application/pipeline defects and fixes; work with the technical team to establish and maintain appropriate levels of availability, response time, and bioinformatics software and systems performance; and execute development testing for commonly used applications such as data processing pipelines. Requires a Bachelor’s degree in a natural science or computational discipline and 1 year of experience with computational skills including deep learning, ensemble learning, machine learning, distributed computing, and automation pipeline development, as well as experience with programs including SQL, Sklearn, TensorFlow, PyTorch, and Docker. Apply online at www.chop.edu/careers.

Job Description When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons we rank as one of the top hospitals in the nation by U.S. News & World Report. From working with a team of committed healthcare professionals to using state-of-the-art facilities, you’ll have everything necessary do something incredible—for yourself and for others! Are you ready to be a part of breakthrough research? The Knott laboratory is searching for computational scientists to develop and apply machine learning tools to study next-generation single-cell datasets. The Knott lab is located in the Center for Bioinformatics and Functional Genomics at Cedars-Sinai Medical Center, in Los Angeles, California. The lab focuses on understanding the molecular mechanisms of disease using a combination of genomics, computational biology, and functional studies in animal models. To learn more, please visit Knott Research Lab | Cedars-Sinai. The Research Bioinformatician I performs general bioinformatics analysis and software support for projects involving in omics. The RBI manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The RBI assists in the development, testing, and maintenance of modular software pipelines, and provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. Primary Job Duties & Responsibilities: • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences. • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats. • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology. Qualifications Education: • Bachelor’s Degree in Computer Science, Electric Engineering, Computational Biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics). Master's degree is preferred. Experience and Skills: • No experience is required. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment, Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. About Us Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the Team Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 5224 Working Title : Research Bioinformatician I - Knott Lab - Center for Bioinformatics and Functional Genomics Department : Research - BMS - Bioinfo and Func Genomics Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Bioinformatics Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $71,219.20 - $121,076.80

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The intern will support the development of DNA methylation data analysis pipelines on AWS Omics. This role will involve working with next-generation sequencing (NGS) data and assisting in the development of robust cloud-based workflows for clinical sample processing. The intern will have the opportunity to contribute to the transition of current pipelines to a fully operational pipeline on AWS, ensuring data compliance within the US environment. This 2025 summer internship position is onsite in San Diego. Essential Duties Include, but are not limited to, the following: • Support DNA methylation data analysis pipeline development. • Implement AWS omics pipeline for whole genome and targeted NGS experiments. • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company’s Quality Management System policies and procedures. • Ability to act with an inclusion mindset and model these behaviors for the organization. Scheduling requirements: • Ability to work full time and onsite in San Diego. Physical requirements: • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 100% of a typical working day. • Ability to work on a computer and phone simultaneously. • Ability to use a telephone through a headset. • Ability to work seated for approximately 100% of a typical working day. • Ability to comply with any applicable personal protective equipment requirements. Minimum Qualifications • Currently enrolled in a PhD degree program in bioinformatics, computational biology, computer science, mathematics, or related fields. • Basic proficiency in Python, R, and workflow languages is essential, as well as experience with AWS. • Preference giving to candidates with a record of outstanding academic achievement. • Demonstrated ability to perform the essential duties of the position with or without accommodation. • Authorization to work in the United States without sponsorship. #LI-AN1 Salary Range: $37,000.00 - $59,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • 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 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant 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 $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist. 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.

BIOINFORMATICS SPECIALIST (ASSOCIATE or FULL Rank) - ULLIAN LAB The Department of Ophthalmology at the University of California, San Francisco (UCSF) is looking to hire a full-time Associate or Full Specialist to focus on bioinformatics and data analysis for various research projects. We are seeking a highly motivated and dedicated professional who can thrive in a collaborative, multidisciplinary environment that involves working with multiple laboratories with diverse interests. Our vision researchers are based in Rock Hall, Cardiovascular Research Building, Sandler Neurosciences Center, and Wayne and Gladys Valley Center for Vision on the UCSF Mission Bay Campus. The Bioinformatics Specialist (Associate or Full) will work with Vision researchers to provide comprehensive bioinformatics support to users of the Department of Ophthalmology’s NIH-funded Vision Core Grant. Key responsibilities will include the following: • provide expertise in the design, execution, data management, and analysis of a variety of genomics projects from start to finish including but not limited to, typical sequencing techniques, such as single-cell/bulk RNA-seq, ATAC-seq, spatial transcriptomics (MERFISH/Visium), proteomics, metabolomics, and other omics data across modalities. • develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing, and single cell sequencing to analyze sequence data and provide bioinformatics and data science support to various research projects in understanding mammalian eye diseases. • design and implement state-of-the-art analysis pipelines using best software engineering practices, including benchmarking, quantitative assessment, adaptation, and parameter optimization of emerging bioinformatic pipelines and algorithms. The successful candidate will join a dynamic community of investigators and can participate in a range of collaborative projects in the field of vision neuroscience. The Specialist will develop and cultivate relationships with research groups through one-on-one and group meetings. Additionally, responsibilities will involve oral presentations and preparing high-quality publication level graphs and figure panels, and written work for meetings and publications. The position offers excellent career development opportunities such as co-authorship of manuscripts, participation in meetings and conferences, and networking opportunities both within and beyond the UCSF campus with other vision scientists if the candidate is motivated, a self-starter and eager to take advantage of the opportunities. Required qualifications • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of experience in the relevant specialization. • Specialists appointed at the full rank must possess a PhD/postdoctoral level training in bioinformatics and a strong research background in vision neuroscience with a biological, theoretical and practical application of a body of highly specialized knowledge in the human, primate and non-human primate visual system. • Experience and track record in leading the construction and comparison of single cell retinal atlas of marmoset, and/or other non-human primate, human, as well as probing postnatal development mechanisms of the fovea. • The candidate must have organizational and collaborative skills. • Must be adaptable, reliable, and willing to learn. • Excellent communication, organizational and time management skills are essential. • Applicants' materials must list current and/or pending qualifications upon submission. • Applicant must have all requirements met by time of hire. Preferred qualifications • Background knowledge of genomics, genetics, molecular biology, data science, and statistical modeling. • Proficiency with R, Unix, Bash, Python. SLURM for on HPC. Version control such as Github. • Single-cell omics analysis pipelines and tools such as Seurat, Signac, Monocle, Harmony, Liger, FastMNN, Limma, RNA-velocity, SCENIC(plus), Scanpy, GSVA, GO-PCA, Clustering Trees, Encode-ATAC-seq, NicheNet, CellPhoneDB, CellChat, Infercnv, Metascape etc. • Knowledge with whole genome sequencing (WGS) and typical NGC analysis pipelines and tools such as Fastqc, samtools, bwa, bedtools, freebayes, GATK, SOILoCo, Lep-Map3, HAWK, AFLAP. • Experience in statistical modeling for neural recordings, imaging and behavioral data. • Experience with data science projects encountered in vision and ophthalmology research, such as large electronic health records, epidemiology datasets, neural recordings, imaging, and behavioral data. • Ability to coordinate and mentor people with non-bioinformatics background. • Ability to prioritize and multi-task is necessary. Please apply online at https://aprecruit.ucsf.edu/JPF05312. Document requirements Curriculum Vitae (CV) Reference requirements 2 required (contact information only) Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and Rank will be commensurate with the applicant’s experience and training. See Table 24B for the salary range for this position. A reasonable estimate for this position is $73,000 - $188,200. Please direct any questions to Erik.Ullian@ucsf.edu.

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

Description Serves as a technical leader in applying computational theory to practice, with an in-depth understanding of diverse IT-related research application areas. The Bioinformatics Programmer manages assigned programs by utilizing principles of computational research, computer science, data science, and CI software development, along with relevant scientific knowledge and professional programming concepts for research projects. They have extensive experience analyzing neurological, physiological, and behavioral data. The Bioinformatics Programmer develops and optimizes a variety of computational, data science, and CI research tools and components. You will build and deploy custom AI models for supervised and unsupervised extraction of behavioral, neurological, and physical health patterns, including models not covered by standard platforms or repositories. You will perform highly complex analyses and tests of software and hardware, applying advanced programming principles and conduct research on current and future HPC, CI technologies, and edge computing, both hardware and data. The Bioinformatics Programmer engages in algorithm development, optimization, programming, and computer science research. You will collaborate with cross-functional teams and managers, and train data science teams to integrate and optimize research technologies ensuring compliance with relevant regulations and ethical standards. Salary Range: $112900 - $256900/Annually

The Molecular Profiling and Data Science Department at Regeneron is seeking an enthusiastic and rigorous scientist who values independent research in an open and collaborative work environment. In this role, a typical day might include: • The candidate will operate at the interface of dry and wet-lab environments, leading software development and bioinformatic analyses to help the Regeneron Genetics Medicines department create next-generation gene therapies (gene editing, suppression, expression, and insertion). • They will contribute to cutting-edge technologies such as AAVs, si/shRNAs, LNPs, and CRISPR-Cas9 to treat and cure diseases. • The candidate will be part of a group consisting of computational scientists with backgrounds ranging from biology to physics with knowledge in genomics and machine learning. • They will work closely with the NGS team and wet-lab scientists across Regeneron to create genetic therapies for a wide range of diseases. This role might be for you if can: • Design, generate and interpret high dimensional data from key platform technologies to support the Regeneron Genetic Medicines department develop novel genetic therapy strategies. • Develop, implement and utilize pipelines in R and/or Python to carry out a range of bioinformatic analyses on large volumes of omics data. • Set priorities and ensure project completion within pre-defined timeframes. • Present results to internal stakeholders, publish in peer-reviewed journals, participate in cross-functional meetings and external activities, and contribute to patent and regulatory filings. The ideal candidate will have a combination of: • Experience with NGS, as well as experimental wet-lab molecular biology and genetic techniques, such as cloning and CRISPR. • Experience extracting biological insights from transcriptomics, genomics, and other omics datasets at the single-cell and bulk level. • Demonstrated experience with applying statistics, especially machine learning models, to answer biological questions. • Familiarity with a Linux environment, shell scripting, and high-performance computing clusters. To be considered for this opportunity, you must have the following: • A BSc + 2 years of industry experience, or an MSc in Quantitative Biology, Bioinformatics, Computational Biology, Systems Biology, or related field. • Hands-on experience developing and using bioinformatic tools to analyze omics datasets. • Ability to apply quantitative reasoning when analyzing data, with an appropriate understanding of the assumptions and models used to make inferences. • Excellent presentation and interpersonal communication skills, allowing you to engage with diverse audiences and navigate between high-level motivations and technical details. • An independent, problem-solving mindset, with the capacity to introduce novel bioinformatic pipelines and dive deep into data while balancing different internal priorities from diverse preclinical programs. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $90,700.00 - $148,100.00