Bioinformatics Jobs

Salary: Minimum $65,000 ANNUAL (12 months) Depending on Qualifications Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at ( https://hr.wisc.edu/benefits/ ). Job Summary: This position will use multi-omics technology and computer science to analyze very large and diverse data to study and find solutions in the area of biology and clinical disease. This position will provide bioinformatic support of the department's grants applications and research projects. Responsibilities: Identifies research problems, designs research methodologies, performs research, and helps to prepare the results for presentation to professional organizations or for scholarly publications to help advance research. • 10% Assists with the identification of research problems and the development of research methodologies and procedures • 50% Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility • 20% Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities • 5% Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information • 10% Writes or assists in developing grant applications and proposals to secure research funding • 5% Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion Education: Required PhD in Computer science, statistics, bioinformatics/medical informatics, or related field. Qualifications: -At least 1.5 years of postdoctoral experience working in the field of biomedical informatics and experience in the molecular underpinnings of neurological disease. Work Type: Full Time: 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. Appointment Type, Duration: Ongoing/Renewable How to Apply: To apply for this position, please click on the "" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience. Contact: Kabao Chang kchang52@wisc.edu 608-263-6062 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Official Title: Scientist I(RE043) Department(s): A53-MEDICAL SCHOOL/NEURO SURG/NEURO SURG Employment Class: Academic Staff-Renewable Job Number: 313955-AS The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Division Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require you and your references to answer questions regarding sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department .

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.

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

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

About MyOme MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Job Description MyOme is seeking a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in next-generation sequencing analysis and algorithm development including long read sequencing. This role will report directly to a Senior Bioinformatics Scientist. Responsibilities • Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data • Identify and test tools for NGS (including short- and long-read whole genome sequencing) data analysis including structural variant detection • Develop novel algorithms to combine short- and long-read sequencing data • Design and implement analysis pipelines that include quality control processes • Help design and conduct clinical validation study plans and reports • Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards Skills and Experience • Master's degree (PhD preferred) in computational biology, computer science or a related field • 3+ years experience in industry (or doctoral work) analyzing NGS data • Coding fluency such as Python or R • Experience with packages such as bwa, bcftools, samtools, minimap • Ability to implement new tools and evaluate open source tools quickly • Familiarity with genomic databases such as NCBI, Ensembl, gnomAD • Experience with detecting and interpreting different types of genetic variants • Experience managing computational tasks in a cloud environment (AWS or GCP). • Solid understanding of the Linux environment and shell scripting • Experience working with long-read technology (Oxford Nanopore, PacBio) • Experience with Nextflow a plus • Excellent communication and presentation skills • Experience working in a remote team (preferred) Location, Compensation, and Benefits • Location: Remote-friendly with preference for Bay Area. Occasional travel required for team meetings. • Compensation: $120-140K/year depending on experience; equity; and the following benefits: • Company-paid health/vision/dental benefits • 401K • Unlimited PTO • Company-sponsored offsites and team meals during in-person meetings • Direct access to company leadership and opportunity to grow into an operational leadership role Why Work at MyOme? Join us if you: • Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level • Enjoy rolling up your sleeves, taking initiative, and being empowered to lead • Value humility, transparency, and collaborative problem-solving • Thrive in fast-moving, dynamic environments with smart, driven teammates • Appreciate competitive compensation, meaningful equity, and excellent benefits Learn More: myome.com Employment Type: FULL_TIME

We are looking for a PhD experienced @ the intersection of Bioinformatics and Machine Learning. Join us and work with our brilliant AI research team, + scientifically rigorous in-house experimentalists, to tackle various challenges. We are a highly collaborative team and excited to connect with computational scientists with systems thinking, a strong understanding of statistics, who are skilled in making bioinformatics discoveries, running directed analysis, and creating/developing cutting-edge AI for research. Design and implement large-scale bioinformatics analysis pipelines to process internal data and analyze published datasets. Facilitate training and integration of bioinformatics workflows with multi-agent LLM systems, including enabling model fine-tuning and creation of custom embeddings. Help develop and support our wet-lab and ML experimentation platforms for internal tools and projects. Guide the development of agentic or model-driven analysis tools. Provide advice and guidance on experimental design and project requirements in our wet lab. Collaborate closely with a multidisciplinary team of AI researchers, biologists, and chemists, while fostering an environment of innovation and discovery. PhD. in Bioinformatics, Computational Biology, or related discipline. Experience working with a variety of biology data types, including NGS, scRNA-seq, proteomics, and others. Extensive working knowledge of and experience with standard bioinformatics tools for analyzing various data types. Strong programming expertise with the capability to adapt to various technical challenges in the experiment, data, and analysis stack. Demonstrated ability to build and maintain robust, production-level analysis pipelines. Strong practical understanding of statistics. Ability to stay current on the latest cutting-edge techniques in bioinformatics and AI. Desire to learn and build tools for AI-augmented bioinformatics analysis and science. Experience with machine learning tools and capabilities, especially experience training custom models, reinforcement learning, or other post-training techniques.

About This Role Effective use of disruptive technologies is central to Biogen’s strategy, focusing on human genomics, digital technologies, and advanced analytics to support new medicine discovery and development. The Digital Lab Informatics team in Cambridge, MA, searches for a Cloud Engineer - Bioinformatics to enhance research efforts. This role involves designing, testing, and deploying technologies for dry lab processes, building AWS infrastructure, and developing analytical pipelines. The position requires collaboration with vendors, scientists, IT professionals, software developers, and engineers, aiming to manage large scientific datasets and deliver software aiding scientists in drug development. Additionally, the role includes preparing presentations and technical documents, contributing significant value to the business by advancing disease understanding and therapies. This position reports to the Digital Lab Informatics team and is integral to the overall business structure. What You’ll Do • Collaborate with scientists to address software needs • Evaluate and implement AWS services and vendor software • Build web application features for data discovery • Develop bioinformatics tools and pipelines for genomics • Design and implement workflows for petabyte-scale scientific datasets • Develop data visualization tools for insight generation • Follow best practices in software lifecycle management • Present at meetings and conferences • Direct and mentor interns and contractors Who You Are You are a skilled Cloud Engineer with a bioinformatics background and experience managing large scientific datasets on AWS. You are passionate about new technologies and aim to innovate drug development by enhancing scientists' work. Required Skills • Bachelors degree in bioinformatics, computer science, or relevant field with 5+ years of relevant experience in Biotech/Pharmaceutical industry • Background in bioinformatics and molecular biology • Proficiency in Python and JavaScript (NodeJS, ReactJS) • Experience with AWS cloud development (AWS HealthOmics, Step Functions, IAM Roles/Policies, Data Management on S3) • Understanding of DevOps practices and CI/CD methodologies (i.e. GitHub Action/Packages, CodeBuild, CloudFormation) • Knowledge of containerization (AWS ECR) and workflow orchestration frameworks (WDL, Nextflow) Preferred Skills • Master’s degree in bioinformatics, computer science, or relevant field with 3+ years of relevant experience in Biotech/Pharmaceutical industry • Accredited with professional AWS cloud development certificate • Experience with S3 Metadata and S3 Browser for data discovery • Exposure to AI/ML data design patterns and ML flow framework Job Level: Professional Additional Information The base compensation range for this role is: $115,000.00-$150,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to: • Medical, Dental, Vision, & Life insurances • Fitness & Wellness programs including a fitness reimbursement • Short- and Long-Term Disability insurance • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) • Up to 12 company paid holidays + 3 paid days off for Personal Significance • 80 hours of sick time per calendar year • Paid Maternity and Parental Leave benefit • 401(k) program participation with company matched contributions • Employee stock purchase plan • Tuition reimbursement of up to $10,000 per calendar year • Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

A Bioinformatics Research Scientist position is immediately available under the supervision of Dr. Zhaoming Wang in the Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital. Wang Lab is seeking a talented and highly motivated data scientist to apply established and innovative approaches towards analyzing multi-omics data to discover potential biomarkers for risk of chronic health conditions including second cancers among long-term survivors of childhood cancer. In addition to large-scale molecular profiling data encompassing genome, epigenome, and transcriptome, we also have access to rich longitudinal clinical data from the two largest cohorts of childhood cancer survivors: St. Jude Lifetime Cohort and Childhood Cancer Survivor Study. Strong expertise in R and/or Python programming is required. Extensive working experience in next-generation sequencing analysis and domain knowledge in one or more of bioinformatics, biostatistics and genetic/molecular epidemiology are highly desired. The ability to work independently and in a team-setting (multi-tasking and effective communications) is also essential. The Wang Lab is currently focused on cancer genetics (pediatric cancers, subsequent adult cancers), aging biomarkers (telomere, epigenetic age, clonal hematopoiesis), and multi-omics integrative analysis (including single-cell approaches). Job Responsibilities: • Work closely with Dr. Wang and others with the overarching goal of contributing to the clinical research by melding multi-omics data with clinical/phenotypic data for discoveries in the area of precision preventive medicine for survivorship care. • Contribute to multi-omics data management and primary sequencing data analysis by setting up/improving automation pipeline with established computational methods. • Lead the development of analytical workflows (secondary analyses) for assigned research projects. • Learn new bioinformatics techniques for data mining in molecular phenotyping (e.g., deconvolution analysis, mosaicism detection, HLA imputation) • Contribute to the preparation and submission of manuscripts for publication. • Present to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Perform other duties as assigned to meet the goals and objectives of the department and institution. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ 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 4+ years of relevant post-degree experience (OR) PhD with no experience. • 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 $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist - Dr. Zhaoming Wang. 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.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a highly motivated and capable bioinformatics scientist with experience and interest in translational cancer research and clinical genomics. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have experience deploying bioinformatics code within a clinical setting. Duties and Responsibilities: • Contribute to designing diagnostic software systems for Tempus medical devices • Interface with biopharma partners and develop plans for investigational diagnostic testing • Manage companion diagnostic test design and development in concert with sponsors • Prepare and coordinate software system technical design and requirements analysis • Collaborate with scientists and clinicians to design diagnostic tests in a regulated environment • Communicate with outside scientific teams as well as product and bioinformatics leadership • Produce high quality and detailed documentation for all projects. Preferred Qualifications: • Ph.D./M.S. in quantitative scientific discipline. • Minimum of 3 years of relevant experience • Computational skills using Python, R, and/or Bioconductor. Ideal candidates will possess: • Experience in cancer genetics • Experience working with next-generation sequencing data • Experience with supporting analytical studies • Experience with software development and verification process • Experience in regulated medical device development • Experience using cloud systems such as AWS, Azure, and/or GCP • Self-driven and works well in interdisciplinary teams • Experience with communicating insights and presenting concepts to a diverse audience California Pay Range - $100,000 - $150,000 USD Illinois Pay Range - $90,000 - $135,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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 UHealth System at the University of Miami has an exciting opportunity for a Bioinformatics Analyst in the Radiation Oncology Department. 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: Bachelor’s 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. 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