Bioinformatics Jobs

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

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. 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. The laboratory of Dr. Xueqiu Lin in the Computational Biology Program of the Public Health Sciences and Human Biology Divisions has an open position for a Bioinformatics Analyst I/II. We are seeking a highly motivated individual who will bring their knowledge and computational skills to the study of cancer functional genomics. Candidates who are excited to be part of a team working on computational/statistical model development and large/complex ‘omics’ data analysis of cancer genomes to study cancer are encouraged to apply. Please visit the lab website for more information: https://research.fredhutch.org/lin/en.html. The position has a competitive salary with great benefits. The Lin Laboratory uses CRISPR screen technologies, computational genomics, and interpretable deep learning models to study cancer risk and to advance precision medicine. We are building on this strong computational program by implementing wet-lab operations in a fully renovated laboratory space in the Lake Union Steam Plant Building, the newest Fred Hutch facility. The Steam Plant building is home to 23 laboratories consisting of 275 experts in computational biology, data science, and immunotherapy who use cutting-edge technologies and tools to revolutionize cancer treatment. We work in an interdisciplinary team environment with many local and external experts. All our projects involve partnering with investigators and laboratories who have diverse expertise in computational, genomic, molecular, experimental, and cancer biology, and in clinical research. The study areas for this position center on genomic regulation, single cell sequencing, chromatin and epigenetic profiling, cancer GWAS studies, high-throughput CRISPR screening and translation of cancer biomarkers to improve treatment strategies and develop CRISPR targeted therapy. The Bioinformatics Analyst I/II will work under the direction of the senior computational scientist to develop deep learning models and algorithm for deciphering the logic of regulatory code, work on a variety of bioinformatics analysis projects including bioinformatics method and software development; executing, improving, and developing bioinformatics pipelines based on evaluation of computational tools and reference databases; and working with experimental researchers to conduct and report data analysis using principles of good statistical scientific practice and reproducible research. Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply • Application of statistical modeling, algorithm design, deep learning, machine learning and explainable artificial intelligence to study cancer and genetics. • Gene regulation, gene regulatory elements, cancer genomics, epigenetics, CRISPR high-content screen, genotype-environment interaction. • Analysis of large, complex CRISPR screen, genome, epigenome or transcriptome data To apply, please submit your application with the following: • Cover letter describing your experience and/or research interests is required. • Curriculum vitae • Example of your code either as (1) an attachment or (2) link(s) to public repositories (e.g. GitHub) Responsibilities The research interests/projects and responsibilities for this Analyst position in the Lin lab include: Bioinformatics Analyst I • Support and assist the senior computational scientist to develop deep learning models and implement algorithms. • Assist in the development and refinement of data analysis and integration methodologies and pipelines. • Generate figures and tables summarizing data outputs. • Work with research team to document, process, manage and store large datasets. • Developing and testing bioinformatics software. Bioinformatics Analyst II: • Interpret complex biological information, conduct statistical and genomic analysis. • Implement and maintain best practices in large-scale data management and database development. • Write custom scripts to access databases, perform and evaluate quality control and analyze Next Generation Sequencing (NGS) data. • Analyze FFPE-CUTAC to identify non-coding genomic mutations and interpret their function in oncogenic regulatory networks for novel biomarker identification and risk model development. • Develop and implement computational approaches to assist the design and development of high-throughput CRISPR screening. • Integrate the high-throughput CRISPR screening data with multi-omics data. • Prepare figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Engage in bioinformatics literature to ensure the availability of robust methods, resources, and data sources. • Present work at group meetings as well as occasional larger scientific meetings and contribute to scientific publications. Qualifications MINIMUM QUALIFICATIONS: Bioinformatics Analyst I: • Bachelor’s degree in one of these disciplines: Computer science, mathematics, statistics, physics, biostatistics, data science, bioinformatics, computational biology, computer/electrical engineering, or other related fields with at some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. • Up to 2 years of experience with analyzing genome sequencing data. • Strong programming skills in R and Python. Bioinformatics Analyst II: All minimum qualifications from Level I, plus: • 3 years relevant experience, or a master’s degree with at least 1 year of relevant experience outside of the degree requirements PREFERRED QUALIFICATIONS: • Previous experience working with deep learning or statistical modeling • A background in cancer genomics • Experience working in and developing workflows for cloud computing environments • Experience with high performance computing environments • Strong skills in implementation of analytical tools at scale • Works well in team environments; strong communication skills; detail-oriented • Experience with pipeline management tools (Snakemake, WDL, Nextflow) Bioinformatics Analyst I: The annual base salary range for this position is from $77,976 to $102,211, and pay offered will be based on experience and qualifications. Bioinformatics Analyst II: The annual base salary range for this position is from $78,894 to $118,310, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.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). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 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.

The Department of Pathology at The Ohio State University Wexner Medical Center (OSUWMC) and the James Cancer Hospital Molecular Laboratory is seeking a Director of Clinical Bioinformatics at the Associate or Full Professor rank. Expertise in the areas of clinical bioinformatics and genomics is essential. Research interests in machine learning, artificial intelligence, digital spatial profiling, or the integration of genomics and digital pathology is preferred. Qualified applicants must possess an MD, MD-equivalent, PhD or MD/PhD degree, with relevant clinical board certification/ eligibility or clinical bioinformatic/informatics certification/ eligibility. The ability to conduct independent research is required and a history of obtaining competitive grant funding is desirable. Requirements: • Relevant practical experience in clinical bioinformatics, with prior experience in supervising variant scientists or annotators desirable • Well-developed interests in translational or basic research in clinical bioinformatics or genomics • Qualify for an academic appointment at the associate or full professor level – Academic rank and salary will be commensurate with previous training and experience This role will: • Oversee the clinical genomics laboratory staff of PhD bioinformaticians and masters-level variant scientists • Lead and support a research program on clinical or translational bioinformatics/genomics • Help create bioinformatic pipelines or novel software tools in genomic/computational pathology • Work with the molecular pathologists and clinical laboratory directors on automated data-driven workflows for clinical genomics or integrated pathology-genomics signouts • Molecular pathology signout, if applicable, based on training and certifications • Represent the pathology faculty in cancer center or institutional initiatives in genomics and bioinformatics • Serve as a mentor to graduate students, PhD candidates, medical students and other trainees

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. Microbiology & Immunology has an exciting opportunity for a full time Research Associate 3, SOM position. The incumbent assumes responsibility for the design and performance of research focused on the development of novel experimental therapies for human malignancies. The incumbent contributes to collaborations with scientists within the University of Miami or elsewhere. Moreover, this individual works as part of a team and assists with the maintenance of laboratory equipment, protocols, and supplies. CORE JOB FUNCTIONS • Maintains daily operations and performs procedures related to new and on-going research projects. • Assists with ordering, purchasing, and maintenance of all required reagents and supplies for laboratory activities, and monitors and maintains inventory of supplies and stocks. • Assists with the maintenance of institutional biosafety and animal care protocols, laboratory safety records, and standard operating procedures. • Performs and assists other research staff with standard laboratory techniques. • Develops, adapts, and implements new laboratory procedures. • Records, organizes, and writes up experimental results for submission of manuscripts and for scientific presentations. • Keeps abreast of latest literature in the field and searches for references to technical problems. • Maintains current knowledge of the methods and techniques related to the specific field of research. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS • Bachelor’s Degree in relevant field • Minimum 5 years of relevant experience DEPARTMENT ADDENDUM Department Specific Functions • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. • Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics • Create novel computational approaches and analytical tools as required by research goals • Work with lab team to analyze problems, recommend technology-based solutions, or determine computational strategies. • Create or modify web-based bioinformatics tools and train personnel in technical or scientific procedures. • Prepare scientific or technical reports or presentations #LI-GD1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. 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: A7

Whole Person Benefit Packages | Relocation Assistance |Research Faculty Incentive Plans The Department of Biostatistics & Bioinformatics at Moffitt Cancer Center, the top-ranked NCI-designated comprehensive cancer center in the Southeastern United States, is poised to recruit two exceptional faculty members to join our dynamic team. We are looking for candidates who will make significant contributions to our ongoing clinical, basic science, and translational studies at Moffitt, with a proven commitment to team science, evidenced by a robust record of peer-reviewed publications and active involvement in grant-supported research projects. We have a leadership opportunity as Department Vice Chair and Associate Scientific Director for the CCSG-funded Biostatistics & Bioinformatics Shared Resources (BBSR) in the tenure-earning rank of Associate/Senior Member (Associate/Full Professor equivalent). As the Vice Chair, you will play a vital role in supporting the Chair of Biostatistics & Bioinformatics by leading key academic initiatives, including recruitment, mentoring, retention, budgeting, and strategic planning. This is an exceptional chance to contribute to the advancement of biostatistics and bioinformatics while shaping the future of our department. Join us in this transformative journey! The Ideal Candidate: • Will have an excellent record in team science or collaborative data science, particularly in cancer. • Will have excellent communication skills and experience in administration and leadership. Responsibilities: • Collaborate on a variety of cancer research projects. • Build relationships to promote a collaborative environment. Credentials and Qualifications: Successful candidates must have a Ph.D. in biostatistics, statistics, bioinformatics, informatics, biomedical informatics, computer science, or related fields and relevant cancer research training and experience. We also seek to recruit an open-rank tenure-earning faculty role with a strong track record in translational bioinformatics and computational/systems biology, particularly in cancer research. Areas of emphasis include but are not limited to, epigenomics, proteomics, metabolomics, population and real-world genetics, AI-driven biomarker discovery, liquid biopsy techniques, drug discovery and therapeutic innovation, single-cell/spatial omics, and computational immuno-oncology. Responsibilities: • Conduct independent and collaborative genomics-based research in translational bioinformatics, cancer bioinformatics, and computational biology. • Team science collaboration to tackle a variety of cancer clinical and basic science research projects. Credentials and Qualifications: Successful candidates must have a Ph.D. in biomedical informatics, bioinformatics, computational immunology, computer science, biostatistics, or related fields and relevant research training and experience. Position Highlights: The growing Department of Biostatistics and Bioinformatics and corresponding Shared Resource currently has 17 faculty and approximately 26 BBSR staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical, translational, population and biological studies in cancer prevention, early detection, treatment, prognosis and survivorship, drawing on expertise in novel therapeutic and drug discovery, prognostic and predictive biomarker development, chemoprevention, microbiome, high throughput genomics, proteomics & metabolomics, next-generation sequencing, spatial biology, molecular epidemiology, behavioral interventions, comparative effectiveness research, clinical trial design, and precision medicine. Many of these projects draw upon Moffitt’s Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients. The Department of Biostatistics and Bioinformatics is the largest academic department at Moffitt and one of three departments in the academic Division of Quantitative Sciences within the Moffitt Research Institute. Alongside the Departments of Machine Learning and Integrated Mathematical Oncology, the Department of Biostatistics and Bioinformatics offers a unique environment for quantitative scientists focused exclusively on cancer. Institutional investments in the Moffitt Cancer Analytics Platform, high-performance computing, and the Total Cancer Care Protocol offer unique resources for data-driven team science. Academic rank beyond Associate Member will be commensurate with experience and qualifications. Appointment at the level of Associate / Senior Member requires a minimum of five years of experience at the Assistant / Associate Professor level. Tampa is a thriving metropolitan city that provides its residents with a high quality of life. The Tampa Bay area has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. Questions about the opportunity may be directed to the Department Chair, Dr. Xuefeng Wang at xuefeng.wang@moffitt.org or the search committee chairs: Dr. Michael Schell at Michael.Schell@moffitt.org for the Vice Chair opportunity. Dr. Xiaoqing Yu at Xiaoqing.Yu@moffitt.org for the open-rank faculty opportunity. Review of applications will begin immediately. Please be sure to attach your CV and cover letter. To apply, visit our website MOFFITT.org/Careers Equal Employment Opportunity Moffitt is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. Moffitt seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

Services Overview: • The successful candidate will work with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to update and maintain existing data resources and visualization tools and develop new dashboard solutions for evaluating target predictions against observed data. Key Responsibilities: • Update and maintain existing shiny app and Neo4J graph • Collaborate with team members to design and implement new framework solutions for data analysis and visualization. • Develop dashboards to evaluate the effectiveness of predictive models for clinical success against several metrics • Engage with experts in other departments during the development process. • Provide technical support and troubleshooting for end users • Create documentation for codebase and tools Qualifications: • Bachelors, (3-5 years). • MS degree (0-2) or higher in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics or other field with a strong quantitative and computational background) • Proficiency in R or Python programming • Experience with git • Experience using SQL and / or Neo4j databases Preferred skills • Experience working on HPC or cloud environment • Experience developing web apps in shiny or flask • Domain knowledge in bioinformatics and / or genetics • Domain knowledge in machine learning • Experience developing dashboards Job Type: Contract Pay: $58.00 - $60.00 per hour Expected hours: 40 per week Benefits: • Health insurance Schedule: • 8 hour shift • Day shift • Monday to Friday Education: • Bachelor's (Preferred) Experience: • working on HPC or cloud environment: 5 years (Preferred) • developing web apps in shiny or flask: 5 years (Preferred) • knowledge in bioinformatics and / or genetics: 5 years (Preferred) • machine learning: 1 year (Preferred) • developing dashboards: 5 years (Preferred) • R or Python programming: 5 years (Preferred) • git: 5 years (Preferred) • using SQL and / or Neo4j databases: 5 years (Preferred) • quantitative and computational background: 5 years (Preferred) • bioinformatics: 5 years (Preferred) Work Location: Remote

Category Boston University Medical Campus --> Professional Job Location BOSTON, MA, United States Tracking Code 25500870360506 Posted Date 5/9/2025 Salary Grade Grade 45 Position Type Full-Time/Regular We are seeking a bioinformatics software engineer to lead the development, deployment, and maintenance of a software tool for the generation, storage, organization, and interactive retrieval of omics signatures. The position will require database, software development, and interface development skills, as well as the ability to analyze data from multiple omics assays (transcriptomics, proteomics, metabolomics, etc.). The position will also require proficiency in R, SQL, and API programming, as well as containerization and cloud deployment fluency. Required Skills Role requires Bachelor's plus 1-3 years of experience or Master's degree in related field. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

The Department of Neurological Surgery at Northwestern University Feinberg School of Medicine seeks a full-time tenure track Investigator at the rank of Assistant Professor or higher interested in the interface of bioinformatics, machine learning, and the medical sciences. As the acquisition of biomedical data has become increasingly scalable, the challenge has shifted from obtaining data to identifying relevant data and analyzing and interpreting it relative to the existing corpus of research. Often data is collected across multiple modalities including various imaging and ‘omics platforms, each with its own associated databases. Our goal is to develop tools that leverage the multilayered nature of the data to establish relationships between modalities and direct experiments using machine learning. Qualified candidates will have a Ph. D. in Biophysics/Physics, Applied Mathematics, Computer Science, Statistics, Quantitative/Computational Biology, or related field. Strong background in statistics, experience implementing machine learning algorithms, and demonstrated ability to extract datasets from publicly available sources. Experience building analysis pipelines for ‘omics data. Fluency with R/Python is a plus. The start date is negotiable and the position will remain open until filled. Northwestern University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including years since terminal degree, training, and field or discipline; departmental budget availability; internal comparators; and external market pay for comparable jobs. Benefits At Northwestern, we are proud to provide meaningful and competitive benefits. Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more. When applying, please upload a CV and cover letter describing your interest and alignment with the position. Also upload this completed list of references form to suggest the names of individuals who could write letters of reference on your behalf. Applications accepted here: https://facultyrecruiting.northwestern.edu/apply/MTUwNQ== Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern’s non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process. Please read ALL instructions and make preparations before proceeding to the application page: • Applications will only be accepted via online submission (see link below). • Please prepare all documents in advance as Adobe PDF files, and please be sure all information is entered correctly and accurately (especially names and email addresses), as there will be no opportunity for online revision after your application has been submitted. • All required fields in the application form are marked with an asterisk and must be filled before clicking the “Submit” button. • Be aware that incomplete applications cannot be saved.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The Computational and Bioinformatics Group within ADME-Tox applies innovative approaches to accelerate next-generation medicines for unmet medical needs. We drive innovation by integrating bioinformatics, automation, and ML/AI into actionable solutions to speed up discovery and mitigate toxicity. We seek a dedicated and collaborative senior bioinformatician to join our group in Indianapolis, Indiana. As a core team member, you will develop novel solutions to tackle challenging problems in a multidisciplinary team setting. What we are looking for: • A skilled and creative scientist to play a vital role in our mission to provide innovative medicines. • A candidate with the ability to build and use advanced informatic tools and strategies to generate and analyze complex multidimensional data sets. This work will primarily support early drug discovery efforts but will also be aimed at developing a deeper understanding of preclinical to clinical translation. • Strong communication skills with the ability to engage with key partners, to develop and implement novel bioinformatic and computational tools in drug discovery. This includes contributing to project teams and acting as a senior scientific consultant. • A senior, accomplished leader that will spearhead internal and external collaborations to develop innovative strategies that impact drug discovery. Responsibilities: • Applying statistical methods to interpret structural and biological data, including hypothesis testing, regression analysis, and machine learning algorithms to identify patterns and relationships within complex preclinical ADME and Toxicology datasets. • Designing and building customized data analysis pipelines to efficiently process and analyze large-scale biological datasets, which may be broadly applied to other areas. • Apply AI/ML tools and generative AI models and integrate findings with existing knowledge to advance translational sciences. • Collaborate closely with project teams to influence experimental design, assay development, data generation and analysis. • Independently design and implement research projects in areas with unmet needs. • Prepare and present technical and scientific reports for both internal and external audiences. • Provide guidance and training to junior scientists on data analysis techniques, software usage, and standard processes. Technical/Functional Expertise: • Proficiency in programming languages commonly used in bioinformatics like Python, and R. • Expertise in statistical methods including linear regression and multivariate analysis. • Experience working with cloud (AWS) and/or high-performance computing environments. • Experienced in pathology data outputs, large-scale omics, high-throughput data analysis, network analysis, meta-analyses and AI/ML models for discovery and translational research. • Proficient in developing data strategies and integrating complex datasets. • Effective communication and project management skills. Minimum Requirements: • PhD degree with 7+ years relevant experience in pharma bioinformatics Additional Skills/Preferences: • Strong background in using complex large scale data sets in the pharmaceutical sector. • Experience in the drug discovery and development process. • Strong problem-solving skills and ability to troubleshoot technical issues. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $168,000 - $294,800 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly