Bioinformatics Jobs

The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. A Lead Bioinformatic Research Scientist position is available in the lab of Dr. Jian Xu at Department of Pathology and Center of Excellence for Leukemia Studies (CELS) at St. Jude Children’s Research Hospital to study the genomic and/or metabolic mechanisms controlling stem cell development and blood cancers. Our lab uses cutting-edge genomics, metabolomics and bioinformatics approaches in a multi-disciplinary and collaborative team setting. Our recent studies include the development of the CRISPR CAPTURE approach (Cell 170:1028), the analysis of rewired BCAA metabolism (Cancer Discovery 9:1228), the role of pathogenic non-coding variants (Cancer Discovery 10:724), retrotransposon silencing (Nature Genetics 53:672), therapy resistance in hematologic malignancies (Cancer Discovery 13:170), and metabolic rewiring in erythropoiesis (Science 386:eadh9215). The main responsibilities will be developing and implementing bioinformatic methodologies for integrative genomic and metabolomic studies of childhood cancers; overseeing operations related to genomic and metabolomic data processing and analysis within the Advanced Technology & Genomics (ATG) core, including software pipelines for short-read and long-read-based genome sequencing, single-cell genomics, high throughput metabolomic profiling, and stable isotope tracing; managing databases; and providing bioinformatic support and services to other lab members and St. Jude researchers. Candidates must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence, flexibility and creativity with a record of scientific productivity. Previous experience in single-cell genomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should upload a CV, a short summary of research interest and experience, and a list of three references. Job Responsibilities: • Lead data analysis and deliver high-quality results by formulating advanced and/or new analytical approaches with the available data/ to address challenging data analysis questions. • Deliver data files, and document the analytical process. Participate in manuscript preparation at project's conclusion. • Establish and document protocols or best practices for common research tasks. • Recommend ideas to automate or improve existing analysis methods and implement the improvement. • Evaluate and test new methods and technologies. Develop reusable code and pipeline. Participate in redistribution and education of novel methods to research community when required. • Lead and participate in the department's developmental projects and interdepartmental team projects. Act as a project manager when required. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ 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 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial 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 $125,840 - $238,160 per year for the role of Lead-Bioinformatics Research Scientist. 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.

Note: Hybrid (3 days on site, 2 days Remote) Job Description We are seeking a highly skilled Bioinformatics Data Analyst to join our team. The ideal candidate will be responsible for retrieving, managing, and visualizing large datasets, while developing custom applications and the integration of laboratory equipment. Minimum Skills • Basic understanding of molecular biology, protein biochemistry, genetics. • Employ bioinformatics tools and software such as Snapgene, Geneious, Genedata Biologics, Pipebio, or Benchling for data analysis and management • Proficient in MS Excel and programming skills in languages such as (SQL, Python, or R) • Expert in data retrieving, wrangling and management of large datasets from databases. • Ability to create dynamic and interactive data visualizers (prior experience with any of these PowerBI, Tableau, D3.js and Spotfire) • Working experience with related libraries in creating custom applications (Pandas, NumPy, SciKit-lern, Matplotlib, Seaborn and Streamlit) • Prior experience with programming and integrating laboratory equipment for data capture • Knowledge of the antibody or genetic medicine drug discovery and development process Qualifications Required • B.S. in a science discipline or bioinformatics and 3+ years of experience or M.S. in a scientific discipline or bioinformatics and 2+ years of experience. • A degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field is preferred. • Proven experience in data analysis, visualization, and the development of bioinformatics applications. • Prior experience with programming and integrating laboratory equipment for data capture About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.

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 Bioinformatics Analyst I-II will provide data analysis services to researchers in the Dhodapkar lab, particularly focusing on single cell genomics, integration of high-dimensional immunologic data and genome sequencing. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, post-doctoral fellows, and research staff on a wide range of topics in biology, analytical biochemistry, sound experimental design, and data science. The Bioinformatics Analyst works closely with Shared Resources cores, especially Genomics and Hutch Data core, to ensure that data quality is high and that users have access to advice and continuing dialog as they review results. Given the large volumes and diverse types of data generated and integrated in Bioinformatics projects, practical applied programming skills are also essential. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect. Responsibilities • Analyze large sequence datasets from diverse workflows including exome capture, RNA-seq, single cell sequencing, ATAC-seq, and CRISPR screens. • Work with Hutch scientists to refine computational research questions and develop analytical processes that can be applied to these genomic datasets. • Consult with researchers on sound experimental design. • Identify appropriate bioinformatics tools to meet the needs of proposed projects. • Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows. • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the team. • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide support as stakeholders analyze and interpret results. • Train laboratory members and collaborators on analytic workflows. • Upload and maintain datasets, workflows, and code (for example GEO, Github). • Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS Bioinformatics Analyst I: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field. • Some experience in computational analysis of large, complex sequence-based molecular data sets. • Demonstrated proficiency in R and Python 3 are essential. • Familiarity with workflow and scheduling software (e.g., Slurm). • Excellent written and verbal communication skills. Bioinformatics Analyst II: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets. • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq). • Effective use of shell scripting and significant fluency in R and Python 3 are essential. • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). • Familiarity with workflow and scheduling software (e.g. Slurm). • Excellent written and verbal communication skills are absolutely required. PREFERRED QUALIFICATIONS Bioinformatics Analyst I: • A year of more of direct experience in computational analysis of large, complex sequence-based molecular data sets. Bioinformatics Analyst II: • Master’s degree in bioinformatics, computational biology, genetics, or related field. • Two+ years of experience in software development, data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. • Experience with single cell transcriptomic analyses and associated pipelines. (e.g. Seurat). • Direct experience includes whole exome sequencing, and integration of data across multiple modalities (e.g., TCR-seq, CITE-seq, ChIP-seq, ATAC-seq, and CRISPR/Cas9 knockout screens). 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. 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.

We are looking for a talented Ph.D. level Bioinformatics Scientist specialized in NGS data analysis, with a deep expertise in single-cell technologies and multiomics approaches. This scientist will play a key role in developing and implementing computational pipelines and tools for analyzing complex NGS datasets. As a member of our Research Bioinformatics team, you will work at the intersection of computational biology, machine learning, and biotechnology to leverage innovative algorithms and analytical methods to support collaborative research initiatives and drive scientific discoveries and biotech innovations. Primary Responsibilities: Develop Computational Pipelines & Tools for Single-Cell and Spatial Transcriptomics Analysis: Build, optimize, and deploy scalable and reproducible pipelines for the analysis of single-cell NGS datasets, including scRNA-seq, spatial transcriptomics, and single-cell methylation sequencing, ensuring scalability, high-quality results and novel biological insights Establish Analytical Capabilities for Multiomics Integration: Develop and deploy tools for the integration and analysis of diverse omics data types—such as genomics, transcriptomics, epigenomics (including DNA/RNA modifications, chromatin accessibility, and 3D genome architecture)—to support a holistic understanding of complex biological systems and drive research hypothesis generation. Leverage Machine Learning for NGS Data Interpretation: Apply and develop state-of-the-art machine learning algorithms to enhance data interpretation, increase analytical throughput, and uncover novel biological patterns in large-scale NGS datasets. Collaborate Cross-Functionally to Support NGS-Based Research Projects: Work closely with wet-lab scientists, project leads, and other computational team members to analyze and interpret experimental data, provide expert bioinformatics support, and contribute to research planning and strategy. Publication & Thought Leadership: Contribute to the publication of results in peer-reviewed journals and conferences. Present findings and methodologies to both internal and external stakeholders. Required Qualifications and Experience: Education Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Technical Expertise Proven experience in NGS data analysis, Experience in single-cell sequencing technologies (e.g., scRNA-seq, single-cell methylation sequencing) and data analysis is highly desired. Strong background in computational pipeline development using languages such as Python, R, or similar. Experience with multiomics integration, spatial transcriptomics, and related advanced sequencing technologies is highly desirable. Solid understanding of machine learning techniques, particularly in the context of biological data analysis (e.g., clustering, dimensionality reduction, predictive modeling). Experience with software development practices (e.g., version control, testing, documentation) is preferred Analytical Skills Extensive experience with bioinformatics tools, software packages, and databases used for genomic analysis Ability to handle large-scale, high-dimensional datasets and apply statistical methods to extract meaningful insights. Collaboration & Communication Excellent collaboration skills, with the ability to work effectively in multidisciplinary teams. Strong written and verbal communication skills to present complex analytical concepts to both technical and non-technical audiences. Equal Opportunity Employer, including disabled/veterans New England Biolabs is committed to fostering a diverse and inclusive community. As an Equal Employment Opportunity employer, New England Biolabs considers applicants for employment without regard to and does not discriminate on the basis of any category protected under applicable federal, state, or local laws and regulations. More in-depth details of EEO are available here. Information regarding New England Biolabs' commitment to Diversity, Equity, and Inclusion can be found here. New England Biolabs is a participating employer in the Employment Verification (E-Verify) program. If you need an accommodation for any part of the employment process because of a medical condition or disability, please send an email to hr@neb.com or call 978-927-5054 to let us know the nature of your request. Employment at NEB offers a challenging and creative work environment in a state-of-the-art research and production facility, with a team of exceptional scientists and professional staff. The NEB culture emphasizes personal and professional growth through creativity, teamwork, respect and responsibility, while maintaining a casual campus-like working environment. Our diverse and talented team of scientists enjoy a collaborative research environment with much of the freedom and intellectual challenge of academia. Our unique corporate philosophy encourages dialogue and innovation. NEB’s philosophy can be distilled down to three core values: passion, humility and being genuine.

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.

Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi-national corporation, a small start-up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply. Job Summary Battelle is seeking a Senior Program Manager, Bioinformatics within our Health Research and Analytics Business Line. The position location can be remote with preference for Crystal City, VA or Columbus, OH on a hybrid schedule. Periodic travel to Columbus, OH and the Washington, DC area is required. As a Senior Program Manager, Bioinformatics, you are responsible for overseeing and growing the Division’s work in Bioinformatics and related science including but not limited to biomedical, computational toxicology, computational biology, and Artificial Intelligence. This role serves as the lead for capturing and executing $50M+ contracts. You are also a key manager for coaching and mentoring team members on shaping, structural, organizational, and partnership requirements to win $50M+, and $100M+ awards. Responsibilities • Recognized expertise in program leadership of Bioinformatics with AI integration experience. • Proven track record in successfully capturing $50M+ opportunities for federal contracts AND developing the teams and processes to grow capture excellence. • Expertise in managing $50M+ programs according to federal requirements and at “exceptional” levels of program execution. • Knowledge of federal market and competitive landscape across both DoD and civilian health agencies • Proven ability to take complex technical and scientific concepts and turn them into clear and concise verbal and written forms. • Demonstrated understanding of capture processes to win new business including: the gate review process; developing a capture strategy; planning capture milestones, managing a capture team, ensuring the capture is executed on schedule and budget, identifying and bringing on partners and teammates, and identifying/mitigating risks to the capture. • For proposal efforts, ensure timely development and delivery of compliant, responsive, innovative and integrated technical solutions and management approaches that are competitive and cost effective. • Passion and drive to constantly need to improve your skill set • Excellent communication skills both oral and written and with all levels of management • Ability to speak to customers at varying levels of technical knowledge and explain mission value of products and services • Ability to work individually and in small fast-paced team environments Key Qualifications • Bachelor’s Degree bioinformatics or Technical field; at least 12 years of experience demonstrating progressive responsibility in business development, program management or technical management; or an equivalent combination of education and or experience in a related field. • Ability to travel up to 25% of the time Preferred Qualifications • Strong knowledge of health and biomedical analytics concepts, technologies, and use cases, specifically utilizing new or cutting-edge approaches to the use of artificial intelligence for predictive and advanced analytics • Master’s Degree or higher, preferably in Bioinformatics or similar professional experience. • Project Management Professional (PMP) Certification • Ability to obtain and maintain Secret clearance Benefits: Live an Extraordinary Life We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life. • Balance life through a compressed work schedule: Most of our team follows a flexible, compressed work schedule that allows for every other Friday off—giving you a dedicated day to accomplish things in your personal life without using vacation time. • Enjoy enhanced work flexibility, including a hybrid arrangement: You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs. • Take time to recharge: You get paid time off to support work-life balance and keep motivated. • Prioritize wellness: Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits. • Better together: Coverage for partners, gender-affirming care and health support, and family formation support. • Build your financial future: Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that. • Advance your education: Tuition assistance is available to pursue higher education. A Work Environment Where You Succeed For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity’s most pressing challenges and creating a safer, healthier and more secure world. You will have the opportunity to thrive in a culture that inspires you to: • Apply your talent to challenging and meaningful projects • Receive select funding to pursue ideas in scientific and technological discovery • Partner with world-class experts in a collaborative environment • Nurture and develop the next generation of scientific leaders • Give back to and improve our communities Vaccinations & Safety Protocols Battelle may require employees, based on job duties, work location, and/or its clients’ requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws). Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle. The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department. For more information about our other openings, please visit www.battelle.org/careers

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.

The EPA National Student Services Contract has an immediate opening for a full time Bioinformatics Assistant position with the Office of Research and Development at the EPA facility in Research Triangle Park, NC. The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA laboratories and at universities across the country. What the EPA project is about The Center for Public Health and Environmental Assessment (CPHEA) The Center for Public Health and Environmental Assessment (CPHEA) provides the science needed to understand the complex interrelationship between people and nature in support of assessments and policy to protect human health and ecological integrity. Within CPHEA, the Public Health Integrated Toxicology Division (PHITD) performs clinical and animal toxicological research to assess the impact of environmental exposures on human health by developing and validating biological measures in all aspects of human health to better link exposure, dose, and health outcomes. This includes evaluating toxicological mechanisms and responses for target organ systems using multiple strategies related to chemical screening and prioritization including assessing in vivo predictive value of in vitro tests and test methods development and interpretation. What experience and skills will you gain? As a team member, you and Investigators across the Agency are involved in diverse areas of research, including systems biology, a variety of ‘omics’ disciplines, as well as database development and data curation. You will be a member of a multi-disciplinary research team and work with computational biologists, EMVL contractors, and other members of ORD’s software development and informatics teams to support research efforts. In addition to scientific projects, you will be responsible for working with the National Computing Center (NCC) Linux/Unix Staff to support the efficient and reliable operation of the organization’s computational cluster, platforms, storage and the associated operations and support tools How you will apply your skills (Can be removed based on TO) Investigators across the Agency are involved in diverse areas of research, including systems biology, a variety of ‘omics’ disciplines, as well as database development and data curation. The student shall be a member of a multi-disciplinary research team and work with computational biologists, EMVL contractors, and other members of ORD’s software development and informatics teams to support research efforts. In addition to scientific projects, the student shall be responsible for working with the National Computing Center (NCC) Linux/Unix Staff to support the efficient and reliable operation of the organization’s computational cluster, platforms, storage and the associated operations and support tools. Application and Programming responsibilities: • Working knowledge of emerging computational and semantic technologies and best practices; • Maintaining existing code and scripts that may or may not access databases; • Developing code or modifying existing code for quality assurance in data transfer and analysis diverse data types; • Updating analysis software and standard procedures for server and database access, ticketing systems for software development tasks; • Creating and maintaining web components using the Node.JS web framework; • Participating in Agile (Scrum) software development; and • Participating in team code reviews, maintaining records of meetings, correspondence, and action documents, and maintain a system to track projects in progress. Communications-related responsibilities: • Participating as a member of a multi-disciplinary research team; • Interacting with other members of the Bioinformatics team as well as NCC and other EPA scientists; • Translating complex computational concepts in ways that can be understood by those with varying levels of relevant technical knowledge; • Assist with IT project execution; and • May be asked to present work performed in the course of their EPA student contractor service as a poster or presentation at a scientific conference or other forum. Required Knowledge, Skills, Work Experience, and Education • Experience programming in at least one modern general-purpose programming language such as Perl, Python, C++, R, or Java; • Experience programing in SQL or related structured query languages; • Experience with semantic web, ontology mapping, and structured query languages, such as RDF and sparql. • Experience in computational manipulation and analysis of diverse datatypes, such as genomic, proteomic, transcriptomic; • Coursework or equivalent work experience with, and front-end development; • Strong written, oral and electronic communication skills; • Proficiency with Microsoft Office applications (i.e., Excel, PowerPoint, Word, Outlook); • Experience with Unix or Linux operating system; and • Experience with cloud computing services. Location: This job will be located EPA’s facility in Research Triangle Park, NC. Salary: Selected applicant will become a temporary employee of ORAU and will receive an hourly wage of $22.46 for hours worked. Hours: Full-time. Travel: Occasional overnight travel may be required Expected start date: The position is full time and expected to begin May 2022. The selected applicant will become a temporary employee of ORAU working as a contractor to EPA. The option year renews May of each year through May, 14, 2025 For more information, contact EPAjobs@orau.org. Do not contact EPA directly.

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.