Bioinformatics Jobs

Title: Bioinformatics Analyst Location: Upper East Side Org Unit: Dan A Landau Lab Work Days: Weekly Hours: 35.00 Exemption Status: Exempt Salary Range: $75,000.00 - $91,000.00 *As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices Position Summary Performs computational analysis of genomic data; writes computer code and scripts to implement analytical pipelines. Job Responsibilities Performs custom bioinformatics and statistical analyses involving genomic and transcriptomics data. Assists with developing new software tools and writes code for specific analyses. Implements analytics pipeline using scripting and coding. Performs other related duties as assigned. Education Bachelor's Degree in related field Experience B.S. in molecular biology, genetics, bioinformatics, biomedical engineering or computer science desired. MS or PhD in systems biology, bioinformatics or computer biology is highly desired. Approximately 2 years of related experience. Knowledge proficiency in Unix. Programming experience in at least one of the following languages: R C, C++, Python, Perl, Java. Experience in biology and/or cancer biology is preferred. Experience working in an academic environment is highly desired. Previous experience in designing and building bioinformatics workflows preferred. Previous experience analyzing and summarizing genomic datasets preferred. Knowledge, Skills and Abilities Experience with R and Python programming, statistical analyses and use of next generation sequencing tools such as STAR, TopHat, CuffLinks, BWA, GATK and others. Ability to work with minimal supervision, and excellent written and oral communication skills, required. Demonstrated ability to achieve results in a fast paced, deadline driven environment with multiple priorities and multiple stakeholders. Experience with genomics and bioinformatics in a clinical laboratory including setting up, testing and maintaining bioinformatics workflows Ability to learn and deliver work in fast-paced and diverse environment Licenses and Certifications Working Conditions/Physical Demands Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Job Identification: 40810 Job Category: Faculty Apply Before: 06/09/2026, 01:00 AM Degree Level: Doctorate Degree Locations: 12901 Bruce B Downs Blvd, Tampa, FL, 33612, US Essential Personnel: No Job Description The Health Informatics Institute (HII) at the University of South Florida is seeking to fill a non-tenure earning position as an Assistant, Associate or Full Professor rank, dependent upon qualifications. The Institute is NIH funded as a data coordinating center for several large clinical networks and actively participates in the design and conduct of epidemiological studies and clinical trials. This position will conduct collaborative research and provide active support for ongoing Institute activities, especially the TrialNet type 1 diabetes study. Opportunities exist for collaborations in other NIH funded and privately funded type 1 diabetes research and disease prevention projects. The Institute is seeking candidates with expertise in clinical trials; however expertise/experience with longitudinal and high dimensional data are sought after as well. Opportunities exist for teaching and graduate student mentoring, if desired. The level of appointment will be commensurate with qualifications and experience and salary will be based upon the University of South Florida pay scale. Individuals with 5 or more years of experience are preferred. The incumbent has potential to take a leadership role in the Institute and become the Principal Investigator of one or more studies. About the Health Informatics Institute The HII is comprised of a diverse team of 30 faculty and more than 120 staff with expertise in biostatistics, epidemiology, health informatics, computer science, genetics, nutrition, psychology, pediatrics, public health, clinical trials, and health services research. With funding from the National Institutes of Health, industry, and other sources, the Institute provides the technical means to facilitate interaction and contributions in knowledge among physicians and patients throughout the U.S. and international communities. By strengthening this vital network, the Institute aims to improve research on many different types of diseases. For more information about the HII, please visit http:://www.hii.usf.edu Responsibilities Use bioinformatics and machine learning tools to analyze high-throughput omic data, including WGS, GWAS, DNA methylation, RNA-seq, lipidomics, gut microbiome data, etc. Perform analyses to examine how multiomic markers are associated with Alzheimer's disease, diabetes, and cardiovascular disease. Develop and implement methods for integrative analysis of available multiomic data, including genomic, epigenomic, transcriptomic, lipidomic, proteomic, and metabolomic data. Prepare manuscripts, grant proposals, and scientific meetings presentations. Qualifications Minimum Qualifications: All candidates must have earned a Ph.D. degree in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, Genetic Epidemiology, or a related discipline, and have demonstrated productivity and leadership in their chosen field, and should complement existing strengths in the Institute, which include epidemiology, biostatistics, statistical genetics, and bioinformatics. The successful candidate will have also demonstrated excellence and creativity in research. Must meet university criteria for appointment to the rank of Assistant, Associate, or Full Professor. For Assistant/Associate Professor - Normally will have produced creative work, professional writing or research in refereed and other professional journals and be a recognized authority in the field of specialization. Preferred Qualifications: Working knowledge of programming proficiency in R or Python and shell scripting on UNIX/Linux environments, particularly with large data files in various formats. Experience in analysis of human sequence data using bioinformatics tools (e.g., trimmomatic, bowtie, SAMtools, GATK, Picard, HOMER) and genetic databases (Ensembl Genes, 1000 Genomes, ESP, HapMap). Working knowledge of statistical genetics will be a plus. Excellent written and verbal communication skills. About Us Working at USF With approximately 16,000 employees, the University of South Florida is one of the largest employers in the Tampa Bay area. We are dedicated to cultivating a talented, engaged and driven workforce that strives to be bold. Employees excel in USF's rich academic environment, which fosters their development and advancement. In 2025, Forbes recognized USF as one of Florida's best large employers, ranked No. 1 among the state's 12 public universities. Our first-class benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and hundreds of employee perks and discounts. About USF The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg, Sarasota-Manatee and USF Health. USF is recognized by U.S. News & World Report as a top 50 public university and the best value in Florida. U.S. News also ranks the USF Health Morsani College of Medicine as the No. 1 medical school in Florida and in the highest tier nationwide. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $738 million in research funding in 2024 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future. The university generates an annual economic impact of more than $6 billion. USF's Division I athletics teams compete in the American Athletic Conference. Learn more at www.usf.edu. Compliance and Federal Notices This position may be subject to a Level 1 or Level 2 criminal background check. Applicants have rights under Federal Employment Laws: The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. Family and Medical Leave Act (FMLA) Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Visit the Central Human Resources ADA Accommodations webpage for more information on requesting an accommodation during the application/interview process. Equal Employment Opportunity The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains affirmative action programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. This job description does not constitute an employment contract.

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do Perform bioinformatics analysis and provide drug development expertise for assigned work.Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)3+ years of bioinformatics research experience Offer Details Commitment: 15–30 hours/week (with overlap in PST)Compensation: Highly competitive, top 10% of industry ratesEngagement: Contractor/freelancer (no medical or paid leave)Duration: 1 month, with possible extensionRemote: Fully remote, collaborative environment

Job Description Pay Range: $155,000.00 - $175,000.00 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: · Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours · Best-in-class well-being programs · Annual, no-cost health assessment program Blueprint for Wellness® · healthyMINDS mental health program · Vacation and Health/Flex Time · 6 Holidays plus 1 'MyDay' off · FinFit financial coaching and services · 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service · Employee stock purchase plan · Life and disability insurance, plus buy-up option · Flexible Spending Accounts · Annual incentive plans · Matching gifts program · Education assistance through MyQuest for Education · Career advancement opportunities · and so much more! 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. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. 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 Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This professional will work in a Hybrid capacity requiring 3 days onsite at our Marlborough, MA facility. Responsibilities: Lead technical design, implementation and delivery of projects aiming to launch new diagnostic tests and services. Act as technical owner for your project, being responsible for the end-to-end solution from technical side. Work with cross-functional partners from business, operations, IT, R&D lab, geneticists, medical directors, and other bioinformatics stakeholders to create solutions that meet business and operational requirements. Lead solution architecture and interface design including system architecture for bioinformatics and detailed data flow mapping. Collaborate with stakeholders to ensure compliance of the solution with internal and external IT security and clinical policies and processes. Work with bioinformatics domain leaders to select appropriate technology platforms for each step in the diagnostic process. Oversee end-to-end testing and diagnostic test validation activities with the project team. Lead the technical documentation and plan and execute handover to operations to ensure effective launch and operation of the solution. Work with project management and report on progress, analyze risks and escalate issues to ensure accurate project management. Qualifications: BS with 7+ years of experience, MS with 4+ years of experience, or PhD with 3+ years of experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 5 years of experience working in a regulated industrial life sciences environment. At least 4 years of professional software development or technical engineering experience Preferred Work experience and Skills: Thorough understanding of end-to-end diagnostic process including ordering, wet lab, dry lab, result interpretation and result and data delivery. Experience with solution design, system architecture, solution architecture, data flow modeling. Experience in leading technical design and implementation of complex projects. Experience with sequencing data analysis, bioinformatics, variant data analysis. Knowledge of bioinformatics tools and workflow managers for sequencing data analysis and quality control. Experience working with SQL and NoSQL databases. Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs). Experience with designing and implementing solutions in the cloud. AWS experience is preferred. Experience of working in clinical diagnostics setting (regulations, controlled processes, diagnostic test validation, environment management). Solid understanding of human genetics and oncology in diagnostic setting. Solid understanding of web lab process for DNA sequencing and working with or developing LIMS systems. Infrastructure management: Terraform, AWS CDK. Architecture design: Microsoft Visio, DrawIO, similar for crafting architecture diagrams. Programming Languages: Python, javascript/typescript, R, etc. Containerizing: Docker Web Frameworks: Python Flask, React Native, Bootstrap Reporting: R Markdown, Jupyter Notebook Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js Source Control: Git CI/CD: Gitlab CI/CD, Github CI/CD Education Bachelor’s Degree Required Master’s Degree or PhD Preferred 59554 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Role Description We are seeking an exceptionally talented Bioinformatics Scientist to join our Sustaining and Continuous Improvement group within Global Operations, responsible for building, updating, and monitoring robust QC processes for microarray and NGS-based high-volume LDT diagnostic products—primarily RNA-based—run in CLIA labs. This role oversees daily activities that ensure operational excellence, drives process improvements, and supports troubleshooting with cross-functional teams. The successful candidate will help maintain consistent product performance through routine CLIA updates, contribute to verification and validation plans and documentation, and participate in design reviews. Working in a highly collaborative, well-supported environment, this individual will gain valuable experience in diagnostic product development and sustaining while seeing their contributions rapidly translated into products that improve patient lives.Bioinformatic analysis using existing computational biology knowledge and tools, as well as developing and implementing novel algorithmic biological approaches.Evaluate technical variability and monitor robust quality control (QC) processes for NGS-based high-volume Laboratory Developed Test (LDT) disease diagnostic products run in CLIA labs, with a primary focus on RNA-based assays.Help to develop and author SOPs, experimental protocols, and technical reports related to experimental studies that become part of the Design History Files and regulatory filings.Interact seamlessly with multi-disciplinary teams such as the CLIA operations, Customer Care, R&D, and Quality to implement process improvements and to identify root cause of in-service problems.Troubleshoot and solve technical challenges that arise during the development process and routine operations.Implement data visualizations using Tableau or other tools to proactively identify trends in the production laboratory.QualificationsA Master’s or Ph.D. in Bioinformatics, Computational Biology, or related field of study.Minimum of 2 years (Ph.D.) or 4 years (M.Sc.) of relevant work experience, with demonstrated expertise in working with high-throughput.Working knowledge of genomics and molecular biology.Strong analytical skills and demonstrated proficiency in programming languages such as R, and/or Python.Experience in data visualization, data wrangling, and SQL is required.Hands-on experience with high-dimensional data and cutting-edge bioinformatics pipelines.Comfort with Linux-based operating systems and good software engineering practices including maintaining code via version controlled systems (e.g., GitHub, Bitbucket).Experience with AWS Services, S3, EC2.Experience in building R shiny apps or data dashboards with BI tools such as Tableau.Excellent written and verbal communication and presentation skills are required.Ability to translate complex computational concepts in such a way that scientifically trained individuals in other disciplines can readily understand their significance.RequirementsPrior experience working with clinical tests in a regulated environment (i.e., CAP, CLIA, NYS, ISO 15189, ISO13485).Working experience in regulated diagnostic assay development.BenefitsSALARY RANGE in San Diego: $119,000 - $167,000SALARY RANGE in South San Francisco: $152,000 - $170,000

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. Perform bioinformatics analysis and provide drug development expertise for assigned work. Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome) ~3+ years of bioinformatics research experience Contractor/freelancer (no medical or paid leave) Remote: Fully remote, collaborative environment

Bioinformatics Engineer — Genomics Platform We’re on a mission to accelerate scientific discovery and enable a healthier future by unlocking a new level of productivity for researchers worldwide. Our sequencing services are used daily by thousands of innovators—from leading academic labs to top global pharmaceutical companies. We started by transforming plasmid sequencing—making it dramatically faster and more affordable through cutting-edge technology and a globally distributed lab network. Now, we’re expanding that same model across the entire genomics landscape. With the launch of new RNA-seq capabilities, we’re taking a major step toward our vision: making sequencing universally accessible—faster, simpler, and more cost-effective for scientists everywhere. The Role As a Senior Bioinformatics Engineer, you’ll help build the engine powering this transformation. This is a high-impact, high-ownership role where you’ll: Design and deploy high-performance bioinformatics pipelines that process thousands of samples daily Develop novel algorithms to transform raw sequencing data into accurate, actionable insights Integrate cutting-edge tools into scalable, production-ready workflows Debug and optimize pipelines handling real-world biological complexity Translate complex outputs into intuitive, user-friendly scientific experiences Collaborate closely with a fast-moving, interdisciplinary team Mentor peers while continuing to grow your own expertise What We’re Looking For You’re someone who Takes ownership and thrives in fast-paced, high-autonomy environments Is deeply curious about biology, algorithms, and software engineering Is motivated by the real-world impact of accelerating biotech and medicine Communicates clearly and enjoys supporting team growth ✅ Qualifications PhD in Bioinformatics, Computer Science, Statistics, Physics, or related quantitative field 3+ years building production-grade bioinformatics pipelines Core expertise in at least one area: Microbial genomics (assembly/metagenomics) Variant calling / large-scale genomics Bulk or single-cell RNA-seq Technical experience: Nextflow or Snakemake (production + cloud deployment) Strong foundation in sequence analysis (alignment, assembly, etc.) Experience with Illumina or Oxford Nanopore data Python (NumPy, Pandas, BioPython, Jupyter) Docker / containerization tools Git-based workflows Linux and production-level scripting Large-scale genomic data processing ⭐ Nice to Have Experience with C++, Rust, or other compiled languages Interest in scientific data visualization / UX Wet lab biology experience History of developing novel bioinformatics methods Why Join? You’ll be part of a team building one of the most efficient genomics engines in the world—processing data overnight, scaling globally, and helping scientists move from samples to insights faster than ever before. If you’re excited about pushing the boundaries of genomics and making a tangible impact on the future of biotechnology, we’d love to hear from you.

Company Description AI Analytics LLC is a leader in leveraging artificial intelligence and advanced analytics to deliver innovative and customized solutions to clients. With expertise spanning areas such as machine learning, generative AI, big data analytics, cloud application migration, and algorithmic trading, we address diverse business challenges. Additionally, we provide centralized investment data management, IT recruitment services, and web and app development. Our skilled team is committed to staying at the forefront of technological advancements and best practices to help clients achieve their business objectives and drive growth. Requirements — Machine Learning Engineer (Bioinformatics / Chemoinformatics) Educational Background Master’s or Ph.D. in Bioinformatics, Chemoinformatics, Computational Biology, Machine Learning, Computer Science , or a closely related quantitative discipline. Strong grounding in statistics, linear algebra, and data modeling relevant to biological systems. Core Technical Skills Advanced proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy). Hands-on experience with modern ML/DL frameworks: PyTorch , TensorFlow , or JAX Strong understanding of: Supervised and unsupervised learning Model evaluation, validation, and optimization techniques Feature engineering for structured and unstructured biological data Domain Expertise (At Least One Required) Chemoinformatics Track Experience with: RDKit for molecular representation and manipulation Molecular fingerprints (e.g., ECFP, MACCS) Chemical formats (SMILES, InChI) Familiarity with: Molecular property prediction Virtual screening pipelines Molecular generation (e.g., VAEs, diffusion models) Knowledge of graph-based modeling , especially Graph Neural Networks (GNNs) for molecules Bioinformatics Track Experience working with: Multi-omics datasets (genomics, transcriptomics, proteomics) Sequence analysis and alignment tools Proficiency in libraries/tools such as: Biopython , scikit-bio Familiarity with: Protein structure prediction or analysis Biological databases (e.g., UniProt, PDB) Systems biology or pathway analysis Machine Learning & Modeling Experience Practical experience (3+ years) applying ML in biotech, pharma, or life sciences Experience with advanced architectures: Transformers Graph Neural Networks (GNNs) Variational Autoencoders (VAEs) or generative models Experience building: Predictive models for biological/chemical data Generative models for molecule or sequence design Data Engineering & Infrastructure Experience building and maintaining data pipelines for large-scale biological or chemical datasets Familiarity with: Data preprocessing, cleaning, and normalization techniques Handling high-dimensional and noisy biological data Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Collaboration & Applied Science Ability to work cross-functionally with: Biologists Chemists Experimental scientists Experience translating experimental results into model improvements Strong problem-solving mindset with an emphasis on real-world applicability Startup Readiness Comfortable operating in: Fast-paced, ambiguous environments Small teams with high ownership Ability to: Prioritize effectively Deliver end-to-end solutions (from research to deployment) Nice-to-Have (Preferred) Experience in drug discovery pipelines (target ID → lead optimization) Familiarity with protein-ligand docking tools or simulation methods Exposure to AI-driven drug design platforms Publications or contributions in relevant domains

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, please review this tip sheet. The Molecular and Cellular Pharmacology Department is seeking a Senior Bioinformatics Analyst to work full-time, on-site in Miami, FL. The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics Analyst also assumes responsibility for the development and maintenance of novel bioinformatics methods. CORE JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field required Experience: Minimum 3 years of relevant experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. 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. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Job Status: Full time Employee Type: Staff

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. Position SummaryThe Human Genomics and Translational Data Sciences team within Cardiometabolic Research Data Science is hiring a Bioinformatics Pipeline Engineer to help build, solidify, and scale the analytical pipelines our scientists rely on every day. Our work spans multiple omics workflows, including target discovery and target due diligence, single cell sequencing, genomics, proteomics and, increasingly, AI-assisted workflows that pull these analyses together into faster, more reproducible products for therapeutic area partners across Lilly Research Labs. This role sits at the intersection of two worlds. On one side, we employ classical bioinformatics and statistical genetics pipelines — the kind of robust, reproducible, well-tested workflows that turn messy public and proprietary genomics data into trustworthy answers. On the other, the rapidly evolving stack of AI tooling — large language models like Claude, agentic workflows, building AI-friendly connectors like MCP (Model Context Protocol), and the code that lets scientists query complex datasets in natural language. We want someone who is genuinely curious about both, and keen to use both to improve the value we derive from our datasets to enable target support and novel target discovery. You will not be expected to be a senior expert in either domain on day one. You will be expected to bring strong software engineering instincts, and a keen curiosity and creativity to enhance the value of the tools and datasets at our disposal. You will work closely with statistical geneticists, computational biologists, and other engineers — both within our team and across Lilly — to ship tools that make the science faster and more reliable. Key Responsibilities Pipeline Development and Engineering Support for computational biology workflows, including single cell, spatial, and other multi-omics analysis workflows for clinical and preclinical applicationsUse modern workflow managers (e.g. Nextflow, Snakemake, or similar) and containerization (Docker, Singularity) to make pipelines portable, testable, and reusable across projects and teamsHelp build and maintain reproducible analytical pipelines for statistical genetics and bioinformatics workflowsWrap and harden ad-hoc analytical scripts written by scientists into production-quality tools that can be re-run reliably by othersWrite tests, documentation, and clear examples so the pipelines you build are usable by colleagues with a range of technical backgrounds AI-Enabled Tooling and Workflows Prototype agentic workflows that automate established and routine analytical tasks — for example, pulling target evidence across data sources, generating standardized due-diligence reports, or letting scientists interrogate complex datasets in natural languageBuild and maintain MCP connectors that expose internal data, public resources, and analytical pipelines to LLM-based agents and tools like ClaudeIdentify and develop use cases where LLMs and agentic AI workflows can improve the speed, quality, consistency, or accessibility of work across therapeutic areas, focusing on end-to-end capabilities rather than isolated task completionContribute to a shared library of reusable AI tooling, prompt patterns, and integration code that the team can build on. Define technical standards for evaluation, documentation, guardrails, and workflow quality so that AI-based solutions are trusted, reproducible, and suitable for repeated use across teams and projectsKnow the latest with the AI tooling landscape and bring back ideas the team can put to work. Help improve AI fluency among collaborators by demonstrating practical workflows Collaboration Across Lilly Research Labs Partner closely with statistical geneticists, computational biologists, and software engineers within the Cardiometabolic Data Science group and across other Lilly Research Labs teamsWork with therapeutic area partners to understand their analytical needs and translate them into pipeline requirementsCoordinate with platform and engineering groups to ensure your pipelines integrate cleanly with broader Lilly infrastructureContribute to internal knowledge sharing — code reviews, demos, documentation, and helping colleagues get unblocked Basic RequirementsB.S. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 10+ years relevant work experience,OR M.S. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 7+ years relevant work experienceOR Ph.D. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 1+ years relevant work experience. Additional Skills/PreferencesStrong programming skills in Python and/or R including comfort with version control (Git), code review, testing, and writing maintainable codeDemonstrated experience building data analysis pipelines, ideally using a workflow manager such as Nextflow, Snakemake, or WDLWorking familiarity with bioinformatics file formats (VCF, BED, GTF, BAM, etc.) and standard tools (PLINK, samtools, bcftools, or similar)Familiarity with typical data types in high-throughput biology, including NGS dataHands-on experience or strong demonstrated interest in modern AI tooling — using LLMs through APIs, building MCP servers/connectors, prompt engineering, or wiring up agentic workflowsDemonstrated ability to build stable and practical, reusable workflows and not just code for one-off analyses, with strong implementation skills in Python and modern AI/ML toolingA collaborative, low-ego mentality; you enjoy building tools that other people use and you take feedback wellComfort with cloud computing environments (AWS, GCP, or Azure) and Linux/command-line workAbility to work successfully in a matrixed environmentPrior experience with statistical workflows/biomedical statistics Prior exposure to statistical genetics methods (GWAS, fine-mapping, MR, colocalization, burden testing) or large-scale genomic datasets (UK Biobank, gnomAD, GTEx, Open Targets)Prior experience with complex high-throughput biological data or experiments such as spatial transcriptomics, large-scale screens, or multi-omics studiesFamiliarity with R in addition to Python, particularly for statistical genetics packagesExperience with relational and/or graph databases, and with biomedical ontologiesContributions to open-source projects or a public portfolio (GitHub, blog posts, demos)Prior experience in pharma, biotech, or academic genomics research Resources ManagedThis is an individual contributor role with no direct reports. The Applied Bioinformatics Engineer, Pipelines & AI will work closely with scientists, engineers, and external partners across Lilly Research Labs. 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 $166,500 - $266,200 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