Bioinformatics Jobs

About the position Responsibilities • Apply expert knowledge of molecular and computational biology to generate and interpret results for Foresight’s academic and pharmaceutical partners. • Inform experimental design and provide real-time assessments of assay performance & quality control. • Deliver analysis, interpretation, and reporting of results using cloud-based bioinformatic pipelines. • Manage multiple simultaneous project timelines and data deliverables. • Identify and communicate cumulative insights to both internal (e.g. computational and experimental teams) and external stakeholders. • Keep Foresight at the forefront of clinical diagnostics by identifying technological improvements through insights gained from accumulating partnership data. Requirements • MS or PhD in data science, computational biology, bioinformatics, statistics or related fields. • At least five years of experience analyzing next-generation sequencing (NGS) data and interpreting results. • Strong data analysis and visualization skills, leveraging relevant Python or R packages (scipy, numpy, matplotlib, pandas, ggplot2, dplyr). • Experience with data management and statistics, demonstrated by a track record of applying these skills to relevant scientific projects. • Proficiency with Python, R, or similar programming languages, comfortability working in a Linux server-based environment, and familiarity with developing code with GitHub. • Ability to work with both computational and experimental scientists in our highly collaborative environment. • Excellent oral and written communication skills for both scientific and general audiences. Nice-to-haves • Experience working on translational research and client facing projects is a plus. Benefits • Foresight offers benefits including paid vacation, sick time, and parental leave (if applicable), alongside medical, dental, vision, life, disability coverage, flexible spending accounts, and a 401k with company match.

The Li Lab (https://jlilab.org/) at UNC-Chapel Hill is hiring Postdoctoral Fellows to work on cutting-edge problems at the intersection of cancer biology, multi-omics, and artificial intelligence. The lab's central research goal is to develop innovative computational tools and integrative omics approaches that advance precision cancer medicine. We aim to extract actionable insights from complex biological datasets and translate them into hypotheses and models that improve patient care. Our work focuses on building robust platforms that unify genomics, transcriptomics, proteomics, and clinical data, while leveraging AI to drive hypothesis generation, biomarker discovery, and therapeutic modeling. We seek creative scientists eager to transform complex genomic, transcriptomic, proteomic, and metabolomic data into actionable insights for cancer treatment. Successful candidates will contribute to projects in: (i) cancer multi-omics and therapeutic target discovery; (ii) AI-driven bioinformatics platform development (integration pipelines, visualization, foundation models, and LLMs); (iii) functional proteomics and translational modeling across patient tumors and preclinical models (cell lines, organoids, and PDXs). Dr. Jun Li is a faculty member in the School of Data Science and Society and a member of the Computational Medicine Program in the School of Medicine at UNC-Chapel Hill. Dr. Li has published extensively in high-impact journals, including first-author papers in Cancer Cell, Nature Methods, Nature Cancer, and Nature Communications. The lab collaborates closely with leading cancer research institutes, including MD Anderson Cancer Center, UT Southwestern Medical Center, and UNC Lineberger Comprehensive Cancer Center. We welcome applicants with expertise in computational biology, bioinformatics, cancer biology, machine learning, or related fields. A strong publication record, quantitative skills, and an interest in translational oncology are highly valued. Applicants should submit their materials through the UNC application portal at https://unc.peopleadmin.com/postings/308705. Review of applications will continue until the positions are filled. The University of North Carolina at Chapel Hill (UNC-Chapel Hill) is one of the oldest public universities in the U.S. and consistently ranks among the nation’s top universities. UNC is highly regarded in life sciences, medicine, public health, and data science. The School of Data Science and Society (SDSS) is a rapidly growing and dynamic new school dedicated to integrating data science across medicine, public policy, education, and other disciplines. It emphasizes interdisciplinary research and high-impact innovation. The UNC Lineberger Comprehensive Cancer Center is an NCI-designated Comprehensive Cancer Center, renowned for cancer genomics, immunotherapy, and targeted therapy research. The UNC Computational Medicine Program (CompMed) integrates mathematical modeling, machine learning, computational genomics, and systems biology to understand human disease and build predictive models for treatment. The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position • You’ll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots complex biology questions and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level) • Detail-oriented • Understanding of cell biology, genetics, biochemistry, and experimental methods • A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. #bio

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description The Brugge Laboratory at Harvard Medical School is seeking a highly motivated Bioinformaticist II to join a dynamic team of researchers working on understanding ovarian cancer initiation and drug resistance. With our collaborators, we have access to valuable patient samples derived from matched pre- and post-chemotherapy-treated patients. The Bioinformaticist II will collaborate with investigators in the Brugge lab and partner labs to perform bioinformatics analyses, statistical modeling, and hypothesis generation from large-scale, multi-modal patient-derived datasets. This position will work with other scientists to define different states of epithelial/tumor and stromal cells in ovarian tumor samples before and after chemotherapy. The lab uses advanced single cell approaches to profile the genetic, epigenetic and transcriptomic landscape to identify strategies to prevent therapy resistance. They integrate this information with high-throughput immunofluorescence microscopy to locate cells of interest in situ. This position will play a key scientific role leveraging computational strategies and bioinformatics tools and analysis methods expertise expertise to identify the critical programs involved in ovarian cancer therapy resistance. In this role, the person will have a path to grow and thrive through unique opportunities to examine patient-matched ovarian cancer datasets. The person would be able to pursue innovative approaches to address fundamental biological questions of tumor biology while advancing their knowledge of cancer biology alongside some of the brightest minds in cancer research. Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, ML/AI, and data analysis methods integrating clinical and multi-modal data sets from donor tissues and from oncology clinical studies. Data types include scRNAseq, scATACseq, spatial transcriptomics, among others. This role offers a path for scientific growth and innovation, including opportunities to publish in high-impact journals and contribute to the development of preventive and therapeutic strategies for ovarian cancer. The position also includes flexibility for partial remote work. Specific duties and responsibilities include: • Develop and apply computational methods to integrate diverse ‘omics’ datasets. • Analyze incoming data using established analytical pipelines and assess or develop new methods as needed. • Collaborate with bench scientists to design experiments and analytical strategies. • Interpret and summarize findings for internal and external collaborators. • Prepare figures and presentation materials for manuscripts, grants, and seminars. • Lead in-depth analyses of genes and molecular programs relevant to ovarian cancer initiation and drug resistance. • Provide expertise in specialized bioinformatics tools and statistical methods. • Document all work thoroughly, adhering to NIH data management requirements as needed. • Generate manuscript-level reports of final analyses and results. • Visualize and present data using advanced techniques for clear communication. • Collaborate with a team including another bioinformaticist and two computational imaging experts. • Contribute to writing and editing computational biology sections of manuscripts and grants. Qualifications Basic Qualifications: • Masters degree in biological sciences required, 5+ years experience in the area of bioinformatics. Additional Qualifications and Skills: • PHD STRONGLY PREFERRED. • High-level proficiency in R and Python and other programming languages. • Expertise in high-performance computing environments. • Experience analyzing single cell -omics data. • Strong problem solving, biological, statistical and computational capabilities. • Excellent collaboration and communication skills, especially in written/verbal presentation and data visualization. • Familiarity with modern AI/ML methods (i.e. Graphical Neural Networks (GNNs) or Transformers) and cloud computing is a plus. • Must be independent, rigorous and think creatively. Additional Information • Term: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. • Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position. • Pre-Employment Screening: Identity, Education • Other Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding. • Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal. #LI-DK1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 057. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: • Generous paid time off including parental leave • Medical, dental, and vision health insurance coverage starting on day one • Retirement plans with university contributions • Wellbeing and mental health resources • Support for families and caregivers • Professional development opportunities including tuition assistance and reimbursement • Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Mercor is hiring a Bioinformatics Researcher on behalf of a leading AI lab. In this role, you’ll **build reproducible pipelines for genomics and proteomics data**, applying machine learning and statistical methods to sequence, expression, or imaging datasets. You’ll surface meaningful biological signals that drive scientific discovery and AI-powered biological research. This position is ideal for candidates at the intersection of biology, data science, and machine learning. • * * ### **You’re a great fit if you:** - Have a background in **bioinformatics, computational biology, or related fields**. - Are proficient in **Python and R**, with libraries like **pandas, NumPy, SciPy, and scikit-learn**. - Have hands-on experience with **Biopython** and formats like **FASTA and VCF**. - Are skilled in building **reproducible pipelines** for large-scale biological data. - Understand **genomics, proteomics, and molecular biology datasets**. - Have experience with **statistical modeling and ML methods** for biological data. - Use **Jupyter** notebooks or similar tools for experimentation and collaboration. - Care about bridging **biology, computation, and AI research**. • * * ### **Primary Goal of This Role** To design and implement reproducible pipelines for genomics, proteomics, and imaging datasets, applying ML and statistics to uncover biological insights. • * * ### **What You’ll Do** - Build and maintain **pipelines** for genomics and proteomics datasets. - Apply **machine learning and statistical models** to biological sequence and expression data. - Use **Biopython and scikit-learn** to extract meaningful biological signals. - Work with **FASTA, VCF, and related data formats** in large-scale pipelines. - Collaborate with AI researchers and biologists to integrate bioinformatics into research. - Document workflows to ensure **reproducibility and transparency** in biological analysis. • * * ### **Why This Role Is Exciting** - You’ll drive discovery at the **intersection of AI and biology**. - You’ll apply **ML and statistical tools** to cutting-edge biological datasets. - You’ll help unlock insights in **genomics, proteomics, and imaging data**. - You’ll build the foundation for **AI-powered breakthroughs in life sciences**. • * * ### **Pay & Work Structure** - Weekly Bonus of **$500–$1000 USD** per 5 tasks.

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks a computational associate to join in efforts to develop and apply cutting-edge genomic technologies to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. Projects include 1) identifying sequence features that influence the formation of genomic rearrangements based on data from thousands of tumors and matched normal samples, 2) applying sophisticated statistical approaches to determine relationships between the presense of specific rearrangements and genetic/pharmacologic vulnerabilities in cancer cell lines, and 3) developing new analysis methods for a novel experimental technique developed in our laboratory to identify subclonal rearrangements in tumor samples. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who will lead their projects, thinking independently and making original intellectual contributions. We welcome all levels of input from our computational associates, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. Computational associates in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view a computational associate as a mentored training position, with a primary goal being the professional development of our CAs. Prior CAs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Required: • B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences. • A strong background in programming, preferably in R and BASH. • Knowledge of statistical methods either through coursework or research. • Excellent written & verbal communication skills. • Self-starter with excellent problem-solving, organizational and people skills. • A minimum 2 year commitment is required. Preferred: • A strong interest and background in biology • Exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics. • Experience working in cloud computing and UNIX environments is desirable. The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The ability to collaborate closely with other members of a research team is essential. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $69,000 - $80,400 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. The Center for Human Genetics & Genomics at the NYU Grossman School of Medicine invites applications for the position of Human Genetics & Bioinformatics Analyst. This individual will be responsible for performing human genetic and genomic analysis, including: (1) design of family-based and population-based genetic studies; (2) genome-wide association studies (GWAS); (3) whole exome and whole genome sequence analysis and interpretation; (4) instruction on the use of relevant human genetics databases. The successful individual is expected to have a MS degree and experience in the areas of bioinformatics, population genetics and human disease analysis. The individual should have demonstrated capabilities in computational collaboration and communication. Job Responsibilities: • Initiates, interprets, organizes, executes, and coordinates research assignments critical to the project's mission. • Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope. • Ensures timely and accurate completion of research projects. • May be responsible for research/ lab quality control and compliance. • May develop protocols for the collection and quality of research data. • Develops research techniques and methodologies. • May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems. • Perform other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines Experience in Unix/Linux systems including HPC environments Scripting languages: Python or Perl Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $90,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Job Description The Northcott Lab in the Center of Excellence in Neuro-Oncology Sciences (CENOS) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist. CENOS is a collaborative research environment that aims to drive discoveries needed to improve outcomes for children with brain tumors. Through application of cutting-edge molecular profiling to unprecedented patient cohorts and innovative model systems, CENOS members are rapidly translating laboratory findings into new treatments. Genome-wide studies of diverse pediatric brain tumor entities have identified novel mutations, defined molecular subgroups, and opened new avenues of basic, translational, and clinical investigation. 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 successful candidate will contribute to discovery-driven computational studies of unprecedented multi-omic datasets obtained from children with malignant brain cancer, including single-cell, spatial, and liquid biopsy profiles. The candidate will work closely with other bioinformatics personnel within CENOS to play an integral role in exciting collaborations, both within St. Jude and with prominent external collaborators. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, and critical thinking are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshooting independently, communicate effectively with the PI and collaborators, and thrive in a highly collaborative team environment. The ideal candidate should have: • A PhD in bioinformatics, computational biology, data science or related field. • Experience analyzing the following platforms: Single-cell/nucleus RNA-seq, spatial transcriptomics, RNA-seq, ATAC-seq, ChIP-seq/CUT&RUN, and DNA methylation • A strong CV that includes publications involving cancer genomics, epigenomics, single-cell, spatial 'omics, machine learning, and artificial intelligence. • Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing platforms including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole-genome sequencing. • 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 or snakemake), and version control (e.g., git). • 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 - Northcott Lab in the Center of Excellence in Neuro-Oncology Sciences (CENOS). Explore our exceptional benefits ! 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 Scientist Do you have a passion for innovative ideas and groundbreaking discoveries? With over $1 billion invested annually in R&D, at Thermo Fisher Scientific you'll help solve some of the world's toughest challenges, from giving cancer patients hope, ensuring safe drinking water and helping law enforcement tackle cases through forensics. We empower our teams to put science into meaningful action and give our R&D colleagues the autonomy, resources and tools they need to take science a step beyond. The position is based in Ann Arbor, MI and is part of the extended Bioinformatics team within the Clinical Next-Generation Sequencing Division. The mission of this business unit is to develop NGS-based solutions to support applications in oncology and other medical fields. Join a team of hard-working engineers and scientists, passionate about bringing actionable insights to precision oncology. The successful candidate will work collaboratively in a matrix environment to develop data analysis strategies to address key questions about cancer for our internal and external customers. Applications include diagnostics, target and biomarker discovery, indication selection, and clinical development strategies. A day in the Life: • Lead or support development of new sequencing products, designing experiments and interpreting results to ensure performance meets customer requirements. • Develop new algorithms and bioinformatics workflows, translating product requirements into code, testing performance, implementing improvements, and integrating into production software. • Understand and follow product development process guidelines around design, development, and testing. • Provide support for on-market products by troubleshooting customer issues and implementing and testing workflow improvements. • Work cross-functionally with molecular biology scientists, software engineers, quality, regulatory, and product management. Keys to Success: Education: • PhD in bioinformatics, computational biology, statistics, computer science, or biological sciences, with 2+ years of experience (or MS with 5+ years). Experience: • Experience analyzing oncology data is a plus. • Proven knowledge of next-generation sequencing analysis, with a good understanding of software engineering and data analysis principles. • Proficiency in Python and a statistical package (e.g., R), and shell-scripting are required. Experience with bioinformatics tools (e.g., samtools, picard, GATK) is a plus. Familiarity with public genomic databases (COSMIC, ClinVar, cBioPortal, etc.) is required. Knowledge, Skills, Abilities: • Strong drive for problem-solving and continuous improvement, with the perseverance to work through obstacles. • Effective communication and documentation skills, including presenting scientific results to a multi-disciplinary and geographically distributed team. • Ideal candidates will demonstrate a record of research productivity through scientific publications, conference presentations, or patents, and have experience with product development. • Ability to work across different cross-functional teams. Benefits: We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Tagged as: Life Sciences

Monday - Friday, 8 a.m. - 5 p.m. Summary The Lead Bioinformatics Programmer oversees the design, development, and maintenance of software systems that support large-scale biomedical and data science research initiatives. This role is responsible for coordinating the work of software developers, data engineers, and system architects to deliver secure, scalable, and high-performance computing systems for translational and clinical research. The Lead Bioinformatics Programmer serves as the technical and organizational lead bridging computer engineering, data science, and biomedical research teams-ensuring timely delivery, compliance with institutional standards, and sustainability of computing infrastructure. Job Duties • Formulates and defines project scope, objectives, and technical requirements through collaboration with principal investigators, clinicians, and data scientists. • Leads the planning, architecture, and development of research-oriented software applications and computational platforms (web, cloud, and HPC). • Designs and supervises scalable, secure system architectures leveraging technologies such as AWS (S3, EC2, SQS, SNS), Docker, and distributed computing frameworks. • Oversees development of APIs and microservices for research pipelines and data management systems. • Implements and monitors project management best practices including sprint planning, task allocation, and automated testing workflows. • Ensures institutional compliance for HIPAA and data security in system design and deployment. • Coordinates cross-functional communication among clinical informatics, data science, and engineering teams to ensure project alignment. • Provides technical mentorship and guidance to developers; reviews code for scalability, maintainability, and reliability. • Leads system performance evaluation and optimizes compute and data workflows for high-throughput biomedical research. Minimum Qualifications • Bachelor's degree in Computer Science, Biological Science, or a related field. • Five years of relevant experience. Preferred Qualifications • Master’s degree in Computer Science, Computer Engineering, or a related field. • Five years of relevant experience in software development, system architecture, or project management. • Experience managing software projects in research or healthcare settings. • Proficiency in technologies such as Typescript, Python, and cloud infrastructure (AWS). • Experience leading cross-functional engineering teams and deploying secure cloud-based or HPC systems. • Familiarity with biomedical data systems, AI/ML pipelines, or data integration platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.