Bioinformatics Jobs

Summary The Dan L Duncan Institute for Clinical and Translational Research... (ICTR) provides a learning environment at Baylor College of Medicine that integrates data from diverse domains including the electronic medical record, geospatial and social information and next generation technologies to support research, development, and implementation of new approaches to patient care. The ICTR Chao Cheng Laboratory and Bioinformatics Core is currently seeking a Bioinformatics Analyst II to provide bioinformatics analytics for diverse types of genomic data. Job Duties • Runs and validates genome variation pipeline. • Reviews existing variation and propose improvements. • Tests in-house misinformation tools and provides feedback to the software development team. • Performs manual annotation on genome variation data. • Interprets results from similarity searches and from mapping variation data on genomic coordinate systems. • Ensures that annotation of variation objectives are met as required by project or supervisor. • Uses various computational analyses and biological interpretation of results to review existing data and propose improvements. • Prepares documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses. • Produces and analyzes reports; maintain communications with software engineers and programming stakeholders. • Supervises, schedules and coordinates the activities of less experienced research staff. • Performs other job related duties as assigned. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • One years of relevant experience. Preferred Qualifications • Master’s degree in a related field. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 19902

ROLE SUMMARY The Translational Oncology (TO) department within the Pfizer Oncology Division is seeking a highly motivated applicant to join our Bioinformatics team as an Associate Director. In oncology, the rapid development and deployment of increasingly sophisticated molecular assays has created an unprecedented scale of biomarker data for patients in clinical trials. This data represents an... enormous opportunity to guide drug development in a data-driven manner while advancing the science of precision medicine. The scale of this data also means that extracting truly applicable biological and clinical findings from statistical noise is a non-trivial task. A successful applicant will leverage modern data-science and bioinformatics approaches to explore high dimensional datasets, such as multiomic profiling data, in order to extract high-value insights into cancer biology and the mechanisms of action/resistance for a variety of therapeutics being developed by Pfizer Oncology. In addition, a successful applicant will also be able to simplify and communicate these insights to a multi-disciplinary team of subject matter experts ranging from assay specialists, biologists, clinicians, and statisticians. It is therefore expected that the candidate will have deep expertise in computational and data science methods, but also be able to bridge that knowledge to fundamental questions of biology and clinical impact. ROLE RESPONSIBILITIES • Effectively collaborate within multidisciplinary translational teams to analyze clinical trial biomarker data, real world clinico-genomic data and publicly available cancer databases and datasets to inform clinical development plans, clinical trial designs and clinical trial results. • Use classical statistical approaches as well as data science-based methods to help us better predict patient populations most likely to benefit from novel drug therapies, as well as understand mechanisms of resistance. • Develop and help maintain data pipelines for the analysis of high-dimensional data (such as NGS) and support complex secondary analysis and visualizations of these data. • Expand Pfizer leadership in oncology drug development and Pfizer contributions to advancing the science of precision cancer medicine by contributing to internal and external data readouts and presentations, as well as publications in top tier journals. • Streamline and automate data processing for biomarker analyses where appropriate. • Help lead efforts in collaboration with Pfizer Digital to in-house data science and machine learning approaches from the scientific literature to drive innovation at Pfizer. BASIC QUALIFICATIONS • Ph.D. or equivalent in computational biology, bioinformatics, biostatistics, computer science, genomics or a related field with postdoctoral research experience in Cancer Biology; or Ph.D. in cancer biology or related field with established advanced capability and track record in developing and applying computational and bioinformatics methods. • Five years or more of post-PhD academic and/or industry experience analyzing and mining large, multidimensional, genomics datasets (e.g. NGS, RNA-Seq, transcriptomics, proteomics, flow cytometry, etc.) • Fluency in the R programming environment and a comfort working in Linux. • General familiarity with good coding/software development best practices and the use of Git/GitHub. • A track record of publications demonstrating successful collaborations involving processing, analyzing and interpreting large genomics data sets, and in-depth knowledge, innovation and creativity in complex, integrative "omics" data analysis. • Demonstrated organizational, interpersonal, and communication (verbal and written) skills that contribute to positive, efficient, productive, inclusive and supportive collaboration within a multi-disciplinary team of diverse and experienced subject matter experts. PREFERRED QUALIFICATIONS • Prior experience with clinical trial data and familiarity with general clinical trial design principles. • Prior experience and comfort working in matrixed team structures. • Experience/fluency in Python. • Familiarity with workflow languages such as Nextflow/Snakemake/CWL. • Experience with cloud computing environments (AWS or Azure). • Use of CI/CD integrations with GitHub. ORGANIZATIONAL RELATIONSHIPS • Translational Oncology (TO) - This is the primary group of contact as itencompasses Bioinformatics and Biomarker specialist colleagues that this position will engage with for day-to-day activities. • Translational Sciences Operations (TSO) - A successful candidate will work with the TSO group to understand sample disposition for a given study and also to contextualize the implications of any bioinformatics outputs on potential diagnostic development. • Global Biometrics and Data Management (GBDM) - A successful candidate will need to work with Data Managers and Statistics colleagues to ensure that input data to any bioinformatics workflows are properly QC'd and controlled. • Pfizer Digital - The Bioinformatics group has extensive collaborations with Pfizer Digital to ensure that we have the appropriate compute and storage needs for our workflows. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Ability to perform complex data analysis in a modern computing environment. The annual base salary for this position ranges from $131,200.00 to $218,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development

ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first... mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality. • Apply problem solving, data, delivery, functional and technology expertise to solutions for trial design, protocol optimization, site selection and feasibility, trial virtualization, clinical operations metrics and business intelligence • Leverage knowledge of Life Sciences R&D organizations, data & systems, business processes & stakeholder types to aid analyses & recommendations for solution offerings in clinical development • Participate in the development of ZS’s thought leadership in technology solutions accelerating clinical development • Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. • Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate • Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. • Engage in the development of specific assets/accelerators that foster scalability. • Contribute to advancing thought leadership through research support and publication assistance. • Provide guidance and mentorship to Associate team members. What You’ll Bring • A PhD Degree in Computer Science, Statistics, or a relevant field or a master’s degree with 3-5 years of relevant post-collegiate work experience; • 3+ years of experience in working with, or data from, clinical systems (EDC, CTMS, IVR, eTMF and Patient data such as ePRO, Lab, CDMS, OC etc.), understanding clinical process and clinical documents like protocols and data sources like ClinicalTrials.gov (AACT), Citeline etc. • A robust academic performance with coursework emphasizing analysis and quantitative skills. • A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). • A proficiency in at least one programming language (e.g., Java/Python/R). • Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. • A proficiency in agile project planning and project management techniques. • Prior leadership experience from a relevant position. • Fluency in English. Additional Skills: • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com #LI-EM1

Job Overview We are seeking an experienced and highly motivated Senior Bioinformatics Developer with... expertise in public health microbial genomics to join our team. In this role, you will lead the design, implementation, and optimization of bioinformatics workflows for analysis of genomic data from a multitude of viral, bacterial, and fungal pathogens. Responsibilities 1. Provide scientific guidance on development, maintenance, and optimization of bioinformatics workflows such as those available in the open-source Theiagen Genomics Github Repository (https://github.com/theiagen) 2. Establish best practices in code review, documentation, and testing of bioinformatics workflows to ensure reliability and reproducibility of analyses 3. Document and automate processes through a focus on continuous improvement 4. Lead meetings with public health partners and external collaborators to communicate important updates, identify key issues, and strategize solutions 5. Advise, mentor and supervise junior bioinformatics developers and foster an environment of collaboration, innovation, and excellence across the team 6. Stay informed about the latest developments in bioinformatics, genomics, and public health to support continuous improvement and modernization 7. Perform any other tasks as required to support the objectives of the team and organization Qualifications 1. PhD in bioinformatics, computational biology, genomics, or a related computational field 2. Have an understanding of infectious diseases or public health 3. Extensive experience in bioinformatics development, with a track record of leading projects from conceptualization to completion 4. Proficiency in at least one programming language to an advanced level 5. Knowledge of other commonly used languages in bioinformatics such as (Python, WDL, Nextflow, R) and experience with version control systems (Git) 6. Strong expertise in bioinformatics tools and databases relevant to microbial genomics (e.g., BWA, SAMtools, GATK, NCBI databases) 7. Demonstrated experience with workflow containerization technologies such as Docker or Singularity, and workflow management systems 8. Understanding of molecular biology concepts, genomics technologies, and infectious disease epidemiology 9. Excellent problem-solving abilities and analytical skills, with a strong attention to detail and a commitment to quality and reproducibility 10. Proven ability to communicate complex technical concepts effectively to diverse audiences, both verbally and in writing 11. Experience working with metagenomic data is desirable Job Type: Full-time Pay: $75,000.00 - $125,000.00 per year Benefits: • 401(k) • 401(k) matching • Dental insurance • Health insurance • Life insurance • Paid time off • Vision insurance Schedule: • Day shift • Monday to Friday Application Question(s): • Do you have an enthusiasm for public health? • What is the highest level of education you have completed? • Are you available to work day shift in US Pacific Standard Time? • Do you have experience implementing best practices in development and testing of bioinformatics tools? • Have you previously lead a bioinformatics development project from conceptualization to completion? • Please provide a cover letter for competitive consideration. Language: • English (Required) Work Location: Remote

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington... With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion. The Fong lab is seeking a highly qualified and motivated Bioinformatics Analyst to work in a collaborative environment leading research on the mechanisms of cancer immunotherapy response and resistance. The focus of our lab is to unravel the dynamic interactions governing the generation of anti-tumor immunity and apply this knowledge toward developing novel approaches for the study and treatment of cancer. We are searching for an analyst with an interest in developing pipelines for quality control and end-to-end analysis including data visualization of a variety of datasets. This role will have the opportunity to work partially at our campus and remotely. Responsibilities The Bioinformatics Analyst I/II will perform specialized data analysis and build custom data pipelines for quality control and end-to-end analysis of large datasets including: • Implement, apply, and evaluate tools to process, integrate, batch-correct and visualize genomics datasets (single-cell RNA-seq, Bulk RNA-seq, CITE-seq), multiparametric flow cytometry datasets, multiplexed cytokine/protein datasets. • Interpret the data and explain the results in research discussions with experimental collaborators. • Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows. • Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects. • Provide figures and written sections describing methods and results for manuscripts, presentations, and grant applications. • Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines. • Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab). • Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: Bioinformatics Analyst I • Bachelor's degree in biology, bioinformatics, biotechnology, bioengineering or related fields (or equivalent experience). • Demonstrated fluency in R and Python 3. • Proficiency with Linux/Unix shell scripting (e.g., bash). • Familiarity with cloud servers or high-performance computing resources. • Experience with bulk and single cell RNA-seq datasets. • Ability to generate and customize visualizations. • Strong organizational skills, including the ability to manage and prioritize multiple competing tasks. • Good communication skills and an interest in learning. • Ability to work independently and in a team. • Scientific curiosity. Bioinformatics Analyst II In addition to the experience and qualifications outlined above: • Master’s degree in bioinformatics, computational biology, genetics, or related field with at least three years' direct experience in computational analysis of large sequence-based molecular data sets. Please include a cover letter with your application detailing your interest in this position. A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. Bioinformatics Analyst I: The annual base salary range for this position is from $67,716 to $99,236, and pay offered will be based on experience and qualifications. Bioinformatics Analyst II: The annual base salary range for this position is from $76,606 to $114,878, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance. This position may be eligible for sign on bonus. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Our Commitment to Diversity We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700

We have an exciting opportunity for a candidate who is interested in working at the forefront of the gene editing (CRISPR knock-out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist 1, you will have the opportunity to apply your bioinformatics background, programming skills, and data analytical knowledge to make key contributions in support of a... wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are a strong team player, can learn quickly, and love working on challenging problems, then this is the right role for you! Key Responsibilities • Work as part of an Agile development team with the support of fellow bioinformatics scientists to develop, test, document, and support bioinformatics tools (primarily Python with some C# and R) • Support the Agile development process by adding information to work items and providing feedback on new code through pull requests • Curate, analyze, and interpret complex data sets • Collaborate with scientists, product managers, and software engineers to understand and address the complex emerging needs of our scientists and customers • Prepare and occasionally present high quality client facing data packages and reports to internal/external clients Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities of this job at any time. Basic Qualifications: • Bachelor's degree in bioinformatics, computational biology, statistics, physics, computer science or a life/natural sciences discipline • 2 years of experience in bioinformatics using standard tools and common data sources • 1+ year of Python development experience including creating and querying databases (e.g. PostgreSQL) OR • Master's degree in bioinformatics, computational biology, statistics, physics, computer science or a life/natural sciences discipline • 1+ year of Python development experience including creating and querying databases (e.g. PostgreSQL) Preferred Qualifications: • Bioinformatics experience • Experience analyzing and interpreting complex scientific data • Knowledge of version control (e.g. Git) • Fluent in Python and experience in other languages (e.g. R, C#) • Team player - enjoys collaborating with others to achieve shared goals and objectives • Excellent interpersonal and communication skills, both written and verbal • Problem-focused and able to drive tasks to completion • Experience working as part of an Agile development team • Experience with unit testing • Familiarity with cloud development and resources (Azure, AWS); Linux & HPC experience a plus • Some experience handling or processing Next Generation Sequencing (NGS) data Compensation Range: The base salary for this full-time position is $91,500-95,000. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that base pay is only one part of our total compensation package and is determined within a range. This range allows for the successful candidate to have an opportunity to progress within the position and develop at our company. This base pay range does not take into account bonuses, equity, or other benefits which may be applicable and are dependent on the level and position offered. What do we offer? We provide competitive and comprehensive benefits to our employees. Below are some highlights of our benefits: · Medical, Dental, and Vision Insurance Options · Life and Disability Insurance · Paid Time-Off · Parental Benefits · 401k with Company Match · Employee Stock Purchase Plan Learn more about Revvity’s benefits by visiting our Why Revvity page. #LI-CH1

The Lead Bioinformatics Research Scientist (Clinical Genomics) performs NGS data analysis for pediatric somatic and germline clinical tests, and provides guidance to less experienced team members. Case findings are presented bi-weekly in a group setting before clinical reports are issued by the on-duty molecular pathologist. Clinical genomics testing relies on a strong partnership between the... Departments of Molecular Pathology and Computational Biology; as a primary user of the clinical pipeline, the Lead Bioinformatic Research Scientist works at the intersection of pipeline development and reporting, providing feedback and facilitating improvement requests/user testing in support of ongoing improvement efforts. Job Responsibilities: • Perform validity review and interpretation of genetic sequence variation identified through diagnostic clinical genetic testing; prepare and present findings • Establish/maintain/improve protocols and best practices of clinical tasks • Support activities of the molecular pathology lab relevant to new test and technology development and updates • Lead and participate in the department's developmental projects and interdepartmental team projects; acts as a project manager when required • Mentor junior variant scientists regarding variant calling/interpretation • Recognize and report system performance problems • Follow written standard operating procedures (SOPs), and maintain proficiency and competency standards required for lab accreditation • Perform other duties as assigned to meet the goals and objectives of the department and institution 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 10+ years of relevant post-degree work in bioinformatics, biological sciences, chemistry, bioinformatics, or statistics/computer science (with a background in biological sciences) • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience • For lead bioinformatics scientists, substantial experience in at least one programming or scripting language and at least one statistical package is preferred. Alternative titles (for example, Clinical Variant Scientist) may otherwise be deemed appropriate. 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 $125,840 - $238,160 per year for the role of Lead-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

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge... research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals. #LI-Remote

Labcorp’s Companion Diagnostic (CDx) development lab in Morrisville, NC is seeking a Bioinformatics Scientist II to support the development of NGS assays for clinical trials and subsequent diagnostic use. The ideal candidate should have experience designing and implementing new analysis pipelines for NGS assays in a regulated environment, possess strong analytical skills, and be a self-motivated... team player. We are looking for a confident, proactive individual capable of taking the initiative and driving to results! This position is Hybrid. Your success will be measured by meeting project goals on-time and within budget, meeting client expectations, and contributing to scientific growth of the CDx team. At Labcorp you will… • Assume responsibility for designing, validating, and implementing new NGS analysis pipelines including software lifecycle (SLC) activities when applicable. • Provide statistical expertise for development projects. • Work in a fast-paced, high throughput environment to meet client driven timelines. • Interact directly with pharma clients and regulatory authorities, including the FDA. • Be responsible for revenue generation by bioinformatic client deliverables. • Participate in business development activities and presentations to win new business. • Support the Quality Management System with good documentation practices and audit internal activities as applicable. • Write SOPs, validation, and analysis reports. Education PhD in Bioinformatics, Computational Biology, Biostatistics, Biology, Biochemistry, or related field. Experience • 5+ years of post-degree bioinformatics experience working on NGS assays is required, including but not limited to RNA-Seq, WGS, WES, or targeted panels. • Full comfort working in a *nix-based, command line environment. Bash or other scripting skills is essential. • 5+ years of scientific programming using Python and R. • Proficiency in statistical analysis methodologies is required. • Demonstrated ability to design, code, and validate analysis pipelines is required. • Experience with WDL, CWL, or other workflow development languages. • Experience with implementing workflows in a cloud environment. • Experience with Jira, Git and Oracle Agile PML strongly preferred. • Experience in IVD product development, including design control, strongly preferred. Competencies • Able to function in a fast-paced, high throughput environment. • Solid organizational skills and independent drive to sustain productivity and meet deadlines. • Strong interpersonal and teamwork skills are essential. • Ability to prioritize workload to effectively handle several projects at any given time. • Quickly and competently train on and perform new and updated analysis methods. • Understand and perform specific tasks that need to be completed on a daily basis. • Identify and offer suggestions for process improvements. • Ability to complete written reports as part of client deliverables. • Attention to detail and ability to work under pressure to generate high quality data analysis. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement

This Direct-Hire position is in the Food and Drug Administration and is located in the Center for Food Safety and Applied Nutrition, Molecular Methods and Subtyping Branch, Office of Regulatory Sciences which develops new methodology or refining existing methods for the rapid detection and discrimination of foodborne pathogens.