Bioinformatics Jobs

Be at the forefront of the gene editing revolution and contribute to developing next generation therapies for children. Top-tier compensation and benefits, supportive and collaborative team environment with unique opportunities and exciting potential for career advancement. As part of the Structural Biology Department at St. Jude Children's Research Hospital , the Kellogg lab seeks a talented computational biologist who is looking to make high-impact contributions on exciting challenges at the scientific frontier of genome-editing. The Kellogg lab uses cutting edge genetics, cryo-electron microscopy, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads the forefront of research in understanding the biology of CRISPR-associated transposons ( Science, 2023 , Molecular Cell, 2023 , Science, 2023 , Nature, 2023 , PNAS, 2022 , Science, 2021 , and more ) and is well supported by the NIH, Pew Biomedical Foundation, and the Cystic Fibrosis Foundation to develop novel approaches to engineer programmable transposons for clinical gene replacement therapy. The Kellogg lab is a highly interdisciplinary scientific environment, routinely working with generously supported St. Jude research core facilities: Cryo-EM Center , the Protein Technology Center , the Single-Molecule Imaging Center , the Center for Advanced Genome Editing , and the Cell & Tissue Imaging Center . The Kellogg lab is a scientifically enriching environment with regular CRISPR supergroup discussions with Dr. Shengdar Tsai . In addition, the Kellogg lab is an active member of RosettaCommons and the Rosetta community. In this position, the candidate will be exposed to multiple, cutting edge techniques spanning cryo-electron microscopy, computational protein design, machine learning, and advanced genomics in a world class research environment aimed at advancing cures for genetic disorders. About you The successful candidate will be an independent learner with strong critical thinking skills and excellent communication skills. We are looking for someone with an outstanding independent track-record and stellar academic background. The ideal candidate is passionate about research and committed to developing tomorrow's cures for children with devastating genetic disorders. Our ideal candidate has extensive experience in one of the following (or more): bioinformatic analyses (metagenomic mining is a major plus), reconstructing evolutionary trajectories, mining transposable element databases, etc.. Scientists are expected to operate independently by leading new research directions in the Kellogg lab. The candidate will be mentored in manuscript preparation and be given opportunities for career advancement via conference attendance and oral presentation sponsorship. Responsibilities: • Develop new research directions under close mentorship of Dr. Kellogg. • Stay up to date with latest CRISPR and protein engineering literature, conduct regular literature reviews in collaboration with Dr. Kellogg and other Kellogg lab members. • Collaborate with other Kellogg lab members to design & clone large DNA libraries using state of the art machine learning methods • Map phylogenetic relationships of CRISPR-associated systems to map functional interactions. • Develop innovative sequence profile machine-learning based protein design pipelines in collaboration with Dr. Kellogg • Collaborate with Kellogg lab members to develop novel tools/assays to collectively advance lab research goals. • Mentor Kellogg lab members in executing internally developed computational analyses and pipelines. • Prepare manuscripts and present research at relevant conferences, including but not limited to: CRISPR, genome-engineering, or protein design conferences. Opportunities for Professional Growth • The candidate will be given opportunities to participate in interdisciplinary scientific research and be mentored in developing leadership skills. • The candidate will be given opportunities to develop new skills, including experimental biochemistry and/or structure determination in collaboration with Kellogg lab members. • The candidate will be given opportunities to attend diverse scientific conferences in the areas of computational protein design (including the Rosetta community), machine learning, genome-editing, and transposon biology. • The candidate will be given opportunities for oral presentations at local and national venues as well as opportunities to develop independent research directions. St Jude Children's Research Hospital is consistently named as one of Fortune magazine's "Best Companies to Work for" and top 10 "Best Places to Work in Academia" by the Scientist Magazine. St Jude is located in Memphis, Tennessee, the 28th most populous city in America. Memphis is a historic city with an affordable cost of living along with world class dining and strong cultural tradition in music and theater. Memphis enjoys a mild, sunny climate year-round and has some of the largest outdoor green spaces of any big city. St. Jude Employees receive: • Competitive compensation packages commensurate with experience. • Excellent healthcare plans with zero to low health premium costs. • Generous retirement benefits with contributions from St. Jude • Onsite health clinic, pharmacy, and exercise facilities. • Paid parental leave and adoption assistance. • Immigration Services • Tuition Reimbursement The Kellogg lab is committed to building a lab culture that is based on respect, diversity, and inclusion which contributes to a dynamic, innovative, and creative scientific environment that is fundamentally based on empathy and intellectual curiosity. The Kellogg lab is known for their rigor and fast pace, consistently aiming for ambitious goals that greatly expand the boundaries of human knowledge. The Kellogg lab is proud to be home to ambitious, curious, and fun-loving scientists of all nationalities and backgrounds. Senior Bioinformatic Research Scientist Minimum Education • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist. Explore our exceptional benefits ! Bioinformatic Research Scientist Minimum Education: • 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. This Position May be Ideal For: • Ph.D.s with post-degree experience looking to establish an experimental line of inquiry before pursuing an independent research position. • Experienced Computational Biologists looking for a stimulating, collaborative, and interdisciplinary lab environment committed to creating tomorrow's genome-editing tools. To virtually meet Dr. Kellogg, check out The Plunge , a Cryo-EM Podcast she and two colleagues hosted. Dr. Kellogg was also recently featured on Cryo-Talk to talk about her life & work. 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 Senior Scientist - Computational Biology and Bioinformatics, Kellogg Lab. 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.

Imagine being involved with innovative projects that change the course of our industry daily! Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our Invitae team, now part of Labcorp, is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. We have an excellent career opportunity for a Clinical Bioinformatics Scientist to join our growing team. This is a US remote based position. If you have a passion for making quality and data integrity a priority, this is an ideal position for you! Position Summary The Clinical Bioinformatics Scientist is part of a team responsible for the evaluation of the truth of clinically reportable variants and is often required to investigate unique genetic or genomic signals identified in production data. In addition to handling production data, the team is responsible for monitoring data quality metrics and troubleshooting the root cause of quality control failures related to both the mainline Next Generation Sequencing (NGS), Whole Genome Sequencing (WGS), and confirmatory assays. All the team’s work directly impacts patient results, making problem-solving both motivating and rewarding and making quality and data integrity the most important aspects of the role. Preferred Qualifications: • Strong knowledge of genetics • Experience with NGS data analysis in either an academic or industry environment · Familiarity with IGV or other genome browsers • Knowledge of common NGS alignment, variant calling, and visualization tools • Familiarity and/or hands-on experience with NGS wet lab protocols, preferably in a production setting but academic knowledge may be sufficient • Excellent written and verbal communication skills • Familiarity with any of the following: • Laboratory Information Management Systems (LIMS) • Python, R, SQL, or other programming languages • git, GitHub, or other version control systems • Project management software such as Jira, Asana, Monday, etc. Essential Duties: • Review and assess the veracity of specific genetic variants (SNVs and CNVs) in NGS or WGS data that are flagged for manual intervention. This process entails making decisions that will determine if a variant is reported to a patient or not. • Review results from confirmatory assays that corroborate or refute calls made in the primary assay. This can lead to contradictory results between assays where the scientist will need to make the final decision. • Troubleshoot quality control anomalies generated by automated pipelines at the sample and/or batch level. • Triage stuck samples, variants, and reports. • Support other production duties like requests from other teams, production on-call shifts, and program development. • Work collaboratively with other teams such as bioinformatics, automation, engineering, clinical genomics, laboratory scientists, laboratory directors, and research scientists in a cross-functional manner. Education/Experience • Bachelor's degree in a biological field (e.g., biology, microbiology, genetics, genomics, bioinformatics, biochemistry, etc.) and four years of relevant professional experience, minimum requirement. • Master's Degree in a biological field (e.g., biology, microbiology, genomics, bioinformatics, biochemistry, etc.) and two years of relevant professional experience preferred. Application window open through: 07/08/2025 Pay Range: $110,000 - $140k (USD) All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Compensation: $115,000 - $140,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 7.5% of your annual earnings; terms and conditions apply. BI Scientist II – Remote , USA This position is focused on developing and improving computational pipelines for analyzing large-scale genomic data, particularly in the context of clinical diagnostics and research innovation. This role requires a mix of development experience, biological knowledge, and statistical proficiency. Essential Functions • Develop and maintain bioinformatics tools and pipelines for NGS data analysis • Collaborate with clinical, research, and engineering teams to implement solutions for genomic interpretation • Optimize existing pipelines for performance, accuracy, and scalability • Support assay validation and documentation requirements for clinical accreditation • Participate in algorithm development to identify genetic variants including SNVs, CNVs, and SVs • Evaluate new tools and technologies relevant to genomic analysis • Other duties as assigned  Qualifications • PhD degree in Bioinformatics, Data Science, Machine Learning, Computer Science, Statistics, Biophysics, Computational Biology or a related discipline, with at least 2 years of post-doctoral or industry experience • Alternatively, MS degree in a related field with 4+ years of industry experience • 2+ years of experience in bioinformatics pipeline development and data analysis. Proven track record of building and deploying machine learning models in real-world applications • Experience in analyzing large and complex structured/unstructured datasets under time constraints • Experience in working with clinical variant data and variant effect prediction • Strong background in next-generation sequencing (NGS) technologies, including analysis of genetic variants • Strong background in bioinformatics tools and techniques (e.g., Illumina sequencing data, NGS pipelines) • Proficiency with programming languages such as Python, R, or Perl • Experience working in Unix/Linux environments • Third-gen long-read sequencing background strongly beneficial (e.g. PacBio/ONT) • Familiarity with cloud-based services (AWS, GCP) • Excellent written and verbal communication skills with the ability to clearly present technical results to non-technical stakeholders • Ability to work both independently and collaboratively within multidisciplinary teams Preferred • Familiarity with bioinformatics concepts, molecular biology, and genomics is preferred, but not required • Familiarity with large-scale data platforms and cloud-based infrastructure (AWS, Azure, GCP) is a plus • Experience with language models (LLMs) is a strong bonus About Us: Ambry Genetics Corporation is a CAP-accredited and CLIA-licensed molecular genetics laboratory based in Aliso Viejo, California. We are a genetics-based healthcare company that is dedicated to open scientific exchange so we can work together to understand and treat all human disease faster. At Ambry, everyone is welcome. A career at Ambry Genetics is a chance to be part of a dynamic company that aims to improve health by understanding the relationships between genetics and human disease. We earned our reputation as industry leaders by responsibly introducing cutting-edge genetic testing solutions and continually sharing what we learn with the global scientific community. At Ambry you will be learning, challenging yourself, and having fun while collaborating with teammates through the open exchange of ideas. Our outstanding benefits program includes 401k, medical, dental, vision, FSA, paid sick leave and generous paid time off (PTO) program. Ambry Genetics is an Equal Opportunity Employer (EOE) and we maintain a drug-free work environment. The Company believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with local laws such as Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. For the purpose of the above job description, “Essential Functions” are “Material Job Duties”. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. All qualified applicants will receive consideration for employment without regard to race (and traits historically associated with race, including, but not limited to hair texture and protective hairstyles such as braids, locks, and twists), color, creed, religion, sex, sexual orientation, gender identity, gender expression (including transgender status), national origin, ancestry, age, marital status or protected veteran status and will not be discriminated against on the basis of disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. If you have a disability or special need that requires accommodation, please contact us at careers@ambrygen.com Ambry does not accept unsolicited resumes from individual recruiters, third party recruiting agencies, outside recruiters or firms without an executed contract in place. We are not responsible for any fees related to resumes that are unsolicited or are received by Ambry. Such resumes will be deemed the sole property of Ambry and will be processed accordingly. PRIVACY NOTICES To review Ambry’s Privacy Notice, Click here: https://www.ambrygen.com/legal/privacy-policy To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics To review the UKG privacy notice, click here: California Privacy Notice | UKG

Description Position Summary: 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 skill 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 Preferred Skills 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: - 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. - Strong problem-solving skills attention to detail and the ability to work collaboratively in a fast-paced environment. Education 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.

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. The DNA Science team at AncestryDNA has the privilege of enabling our customers to learn about themselves and their family history through DNA. We are a diverse team, all passionate about discovery, with access to a dataset unlike any other in the world. We drive innovation in our product and we indulge our curiosity. We are customer obsessed. We have a growth mindset. We think big. We know how to achieve big goals through a succession of quick wins, and we also create space for long-term or high-risk endeavors. We are seeking a highly motivated Bioinformatics Engineer to join our team. Our ideal candidate will have a solid academic background or initial professional experience in bioinformatics, coupled with some experience in cloud computing. As a Bioinformatics Engineer, you will contribute to the development and maintenance of bioinformatics pipelines, learn to support our AWS infrastructure, and help implement automated workflows to advance our scientific research initiatives. What you’ll do.. • Collaborate with scientists to understand requirements and assist in the design, implementation, and maintenance of bioinformatics workflows and tools for analyzing large datasets. • Automate existing science processes and collaborate with stakeholders to transition research and machine learning software into production environments. • Work closely with other Bioinformatics engineers to support the building and maintenance of the scalable cloud environment used by Ancestry’s DNA Science team. • Assist in managing AWS infrastructure to support scalable bioinformatics pipelines and advanced scientific computing workloads.​​ • Apply coding and software best practices to improve software quality. • Participate in the enhancement of legacy codebases to improve efficiency, performance and maintainability. Who you are.. • A Bachelor’s or Master’s degree in Bioinformatics, Computer Science, or related field with 1- 3 years of relevant industry experience, or equivalent combination of education and experience • Demonstrated experience in building bioinformatics pipelines, ideally for analyzing large datasets. • Proficiency in Python and a willingness to learn other relevant programming languages (e.g., Rust, C++). • Exposure to cloud computing concepts (preferably AWS), with an interest in learning infrastructure management tools like AWS Batch and Parallel Cluster. • Understanding of basic principles for deploying pipelines in cloud environments (e.g., AWS, GCP, Azure). • Familiarity with workflow orchestration tools like Nextflow or Snakemake. • Experience using Conda for managing packages and environments. • Experience with Git for version control. Exposure to or interest in CI/CD concepts is a plus. • Basic understanding of infrastructure-as-code concepts and an interest in learning tools like Terraform or AWS CloudFormation. • Excellent communication and interpersonal skills. • Ability to work effectively both independently and as part of a team. Preferred Qualifications: • Exposure to containerization technologies such as Docker, with an understanding of their benefits. • Familiarity with infrastructure-as-code concepts and some exposure to tools like Terraform. • Experience utilizing cloud computing resources for scientific workloads, and an interest in distributed computing architectures. Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $83,160- $103,950 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE. • Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23) Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

Associate Principal Bioinformatics Specialist, Omics, Oncology Data Science Platforms Are you an expert in bioinformatics pipelines and data engineering workflows for biomarker discovery? Do you want to make a significant impact on cancer research by applying your knowledge in a company that transforms scientific ideas into life-changing medicines? If so, AstraZeneca could be your next career destination! Join our growing ODSP team to support AstraZeneca Oncology's strategic initiatives in high-throughput molecular data generation, including somatic DNA sequencing, single-cell and bulk transcriptomics, proteogenomics, and digital pathology. As a Bioinformatician with expertise in NGS 'omics data, you'll design and apply innovative computational analysis methods to advance our multi-omics research portfolio. Your strong quantitative skills will help build scalable solutions to interrogate diverse cancer 'omics datasets, empowering researchers to use AI systems for data-driven decision-making and biomedical knowledge generation. Essential Skills/Experience: • Master's degree in Bioinformatics, Computational Biology, or a related field with 5+ years of applied experience in bioinformatics data analysis or Ph.D. in Bioinformatics, Computational Biology, or a related field with 0+ years of experience • Deep understanding of at least one type of molecular profiling data and experience in analyzing Illumina NGS results. • Investigating, developing and testing to explore novel automated and manual bioinformatics methods approaches to improve sensitivity and specificity of NGS based workflows. • Strong, professional communication skills and excellent attention to detail, capable of developing good effective collaborative relationships with diverse teams of technical and non-technical analysts, engineers, scientists, strategists. • Experience working within a team environment. • Takes ownership of tasks and has a can-do attitude. • Proven programming skills, (Python preferred). and familiarity with software development best-practices (end-to-end tests, unit testing, version control) • Experience working in Unix environments, and exposure to at least one common workflow languages such as Nextflow or Snakemake • Cloud computing (preferably AWS), and High-Performance Computing (HPC) • 'Builder' mindset and adopts reflexive AI approach • Familiarity with Azure OpenAI or using other large language models in software development to accelerate the software lifecycle; understanding of best practices Desirable Skills/Experience: • Proficiency analyzing and interpreting data from multiple 'omics platforms (NGS sequencing, transcriptomics, epigenomics, genomics, proteomics etc.) in an oncology context • Exposure to public cancer knowledgebases and resources (e.g. dbSNP, COSMIC, gnomAD, GDC, TCGA, 1000 Genomes etc) • Direct experience or strong familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and their application to scientific problems • Experience with code sharing and versioning (Github) and Atlassian suite (Jira, Confluence) • Well networked within external bioinformatics and NGS communities • Awareness of machine learning, graph modeling, Bayesian analytics or other non-traditional approaches to model biological data for biomarker discovery At AstraZeneca, we are committed to creating the future of medicine by becoming a healthcare provider beyond medicines. We focus on being truly patient-centric by using technologies to better understand diseases, develop new medicines, and support patients comprehensively. Our digitally-enabled Research & Development cycle enhances clinical trials, data collection, digital therapeutics for rapid diagnostics, wearables, machine learning, visual analytics for informed decision-making, integrated data for improved patient outcomes, and insights for the next generation of products. Here, you are empowered to explore and disrupt while working on cutting-edge innovations. If you thrive on adapting your skills and learning from setbacks as we evolve and innovate simultaneously, AstraZeneca is the place for you. Ready to make a difference? Apply now to join our team! Tagged as: Life Sciences

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Opportunity: As a Sr. Bioinformatics Engineer at Roche, you won’t just support cutting-edge science—you’ll help bring it to life. You’ll play a critical role in enabling our customers to analyze genomic data faster and more accurately than ever before, powered by Roche’s groundbreaking Sequencing by Expansion (SBX) technology. SBX is redefining what's possible in next-generation sequencing, shrinking the time from sample to genome from days to hours. Its flexibility, scalability, and speed are set to transform both research and clinical genomics. In this role, you’ll be the vital link between our customers and this breakthrough platform—guiding data analysis pipelines, solving real-world bioinformatics challenges, and directly contributing to the advancement of genomic science. If you’re looking to join a mission-driven team at the forefront of innovation, and help bring a powerful new sequencing technology to life, we’d love to hear from you. Your responsibilities will include: • Train, enable, and support customers during pre- and post-sales stages on successfully implementing data analysis pipelines and technical discussions. • Function as a link between customers and Roche, ensuring adequate bioinformatics and software support in response to customer inquiries. • Collaborate with scientific support teams to investigate Roche solution inquiries or support pipeline implementation optimizations. • Support customer and internal projects involving the design, development, and implementation of bioinformatics pipelines for analyzing large sequencing data sets, enabling the extraction of information. • Partner with Marketing, Sales, and Scientific Support teams to understand commercial needs, identify data analysis gaps, and propose innovative solutions. • Support sales in conducting scientific presentations, technical discussions, and customer meetings • Provide customer feedback to product marketing and software development. Travel 10% to 25% of the time in and outside the Boston area for customer on-site support and training. This role is expected to work onsite at our Wilmington, MA office at least 3 days per week. Who you are: • PhD in a relevant subject (Bioinformatics, Computer Science, Computational Biology, or a closely related subject) with 3 years of related experience OR, Masters degree in a relevant subject (Bioinformatics, Computer Science, Computational Biology, or a closely related subject) with 8 years of related experience Preferred Qualifications: • Strong interpersonal skills and an ability to work as an effective team member of a goal-oriented team. • Demonstrated proficiency in Python, source control tools (git), and pipeline workflow management tools like Nextflow or Snakemake. • Demonstrated experience with next-generation sequencing data analyses and pipeline development or implementation. • Demonstrated experience with implementing cloud-based computing infrastructure • Understanding of Linux systems administration. • Demonstrated ability to plan, build, troubleshoot, and complete solutions to data problems, ideally in life sciences industry. • Excellent organization and outstanding attention to detail. • Excellent writing and verbal communication skills. • A basic knowledge of sequencing. • Knowledge of state-of-the-art sequence analysis tools and workflows, such as sequence alignment, variant calling, de novo assembly, genome visualization, transcript mapping • Knowledge of relational databases, such as PostgreSQL This role is not eligible for relocation benefits The expected salary range for this position based on the primary location of Massachusetts is 122,300 - 227,100.00 USD. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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.

A fellowship opportunity is available to support the National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), in Morgantown, West Virginia. The participant will train with NIOSH statisticians and toxicologists to learn statistical methods, tools, and platforms for compiling large databases and assessing data quality. These scientific data are needed for occupational health research and quantitative risk assessment. Data sets include experimental data from toxicology and material science research on engineered nanomaterials. The participating student will also have the opportunity to explore data analysis tools and software for summarizing and visualizing data, and to present findings to fellow students and NIOSH researchers. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. The initial appointment is for 2 ½ months, but may be renewed upon recommendation of CDC contingent on the availability of funds. The desired start date is May 21, 2018. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Morgantown, West Virginia, area. Participants do not become employees of the CDC, DOE or the program administrator, and there are no employment-related benefits.

Bioinformatics Analyst V - CGR Job ID: req4334 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION We are seeking an experienced senior bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group. Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes. We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research. Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program. We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR. We extensively analyze large population databases such as All of Us, UK Biobank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression, protein levels, metabolites and develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and custom data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models. We prioritize reproducibility through the use of containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation. Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets. The successful candidate will provide dedicated analytical support to CGR and contribute to cancer research in areas such as germline and somatic variant analysis consisting of SNVs and indels, structural variant, copy number variations and microsatellite detection, followed by variant annotation, filtering and association testing in familial and non-familial datasets. The Bioinformatics Analyst V will also develop and maintain software for the analysis of Human Papillomavirus (HPV) typing assays. They will create new, state-of-the-art, accelerated pipelines and leverage strong data analysis and visualization skills to support downstream analytics, enabling interpretation and the derivation of meaningful biological insights. The analyst will integrate publicly available bioinformatics tools, genomic databases, and large biobanks with internal datasets, enabling independent validation of results across diverse tissues and cancer types. They will work closely with DCEG investigators and CGR scientists, operating with a high degree of independence and demonstrating leadership in project execution. This role involves handling large-scale sequencing data, developing robust pipelines, performing downstream analytical modeling, and collaborating with interdisciplinary teams. KEY ROLES/RESPONSIBILITIES • Develop, implement, benchmark and optimize analytical pipelines for germline and somatic variant analysis from short- and long-read whole-genome sequencing (WGS). Ability to interpret variant calling results, encompassing SNP/indel, microsatellite, copy number and structural variant analysis. • Apply statistical approaches to annotate, filter and interpret variants in diverse genetic and genomic datasets and integrate findings with clinical and multi-omics data. Maintain and develop assays for HPV typing using Ion Torrent platform. • Review and QC genomic datasets, perform downstream statistical analysis using phenotypic and clinical metadata. • Demonstrate strong teamwork and communication skills, with the ability to effectively learn and apply new bioinformatics techniques and resources. • Maintain and document bioinformatics software and scripts to ensure reproducibility and scalability. • Participate in group meetings, present findings, and contribute to publications resulting from research projects. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Master’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency • In addition to educational requirements, a minimum of ten (10) years of related analytical and bioinformatics pipeline development experience. • Strong experience analyzing ultra-deep genomic datasets from fresh-frozen and FFPE specimens using novel approaches and utilizing accelerated and parallel computing. • Well-versed with variant benchmarking using the latest community standards. • The ability to construct practical computational pipelines for data parsing, quality control, secondary and tertiary analysis requiring in-depth visualization and statistical analysis for large-scale genetic or genomics datasets. • Strong experience analyzing human high-throughput sequencing data (WGS, WES, targeted sequencing) and HPV typing in cancer datasets. • Experience in analysis of family-based trio datasets from cancer epidemiological studies to discover small and large de novo variants. Prepare detailed reports and present to the investigators. Strong programming skills in R, Python and Java with experience in RStudio and Jupyter Notebooks. • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Strong problem solving and ability to tackle and solve complex problems independently. • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • A PhD in bioinformatics, computer science, computational biology or related field. • Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, machine learning) and sophisticated data visualization. • Experience in standard genetic association analysis software like PLINK, SAIGE, regenie. • Expert in R, Python, Java and Bash scripting, and GitHub for code development. Extensive use of markdown documents for sharing and documenting the work. • Knowledge of tools to query and investigate cancer genomics with publicly available data sources (such as dbGaP, TCGA,1000 Genomes, gnomAD) and large Biobanks (AoU and UKB). • Experience working in Linux-based environments and using HPC (high-performance computing) clusters. • Strong experience in genomic data visualization tools such as IGV. • Strong understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Expert in environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake, Nextflow and WDL. • Proficiency in using containerization with Docker/Singularity, JIRA for project management. • Proficiency in software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and an ability to work both independently and collaboratively. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 145,800.00 - 250,625.00 The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions