Bioinformatics Jobs

Labcorp is seeking a US remote based Bioinformatics Specialist I to join it’s team! Work Schedule: Monday-Friday, 8:00am-5:00pm (local time zone) Responsibilities: • Ensure and maintain the delivery of accurate clinical reports by reviewing batch and sample level data for patient samples for Invitae, part of Labcorp • Create tools and workflows to ensure the accurate processing and troubleshooting of sample data and clinical systems • Next generation sequencing (NGS) performance metric analysis and monitoring • Assess and troubleshoot the data systems that orchestrate the lab and bioinformatics processes • Track measures of operational excellence (e.g. order turnaround time) • Address production bottlenecks, investigate their causes, and facilitate solutions • Develop software scripts and queries for analysis and automation • Monitor delayed samples and support their resolution • Assist in incident responses, process improvements, and product development • Execute SOP development and improvement​​ Minimum Qualifications: • High School Diploma or GED equivalent • 6 years of experience working in a molecular biology environment and troubleshooting lab or software pipelines Preferred Qualifications: • Bachelor’s Degree with minimum 2 years of experience working in a molecular biology environment and troubleshooting lab or software pipelines • 1 yr experience with bash scripting • 1 yr experience Python, R, or other programming languages • 1 yr experience Git or other version control systems • 1 yr experience Project management software such as Jira, Asana, Monday.com Additional Job Standards: • Working knowledge of molecular genetics and experience with next generation sequencing (NGS) data, preferably in a production setting • Process analysis, design, and improvement experience • Experience manipulating data and troubleshooting applications in UNIX-based environments • Familiarity with working in a high throughput environment and thinking about problems of scale • Superior oral and written communication skills and the ability to clearly communicate technical findings to non-technical teammates • Excellent ability to work with people across different teams and specializations Application Window Closes: 3/4/26 • *Salary Range: $75,000 - $95,000 / year 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.  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. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.  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.

Join the Pack! A community with nearly 8,000 faculty and staff, and 30,000 students. NC State is one of the largest employers in North Carolina, offering a large range of career opportunities. Visit us at https://jobs.hr.ncsu.edu/. Location: Raleigh, NC Essential Job Duties: The Research Scholar serves as a highly visible leader in the implementation of applied genomics and bioinformatics to support genomics-based selection decisions in breeding programs across the United States. This position plays a critical role in bridging research innovation with applied breeding outcomes by designing and deploying bioinformatics pipelines, coordinating multi-institutional breeding efforts, and enabling the integration of genomics into decision-making processes. The work directly impacts national breeding programs and contributes to improving crop performance, efficiency, and data-driven selection across multiple commodities. Applied Genomics & Bioinformatics Leadership • Design, develop, and implement applied genomics strategies to support genomics-based selection decisions in public breeding programs. • Develop, integrate, and maintain bioinformatics pipelines and analytical tools for efficient and accurate genotyping across diverse crop systems. • Perform large-scale genomic and phenotypic data analyses spanning multiple field programs and breeding populations. • Evaluate historical and current breeding program practices to establish standardized, scalable data management and analysis protocols. Breeding Program Coordination & Collaboration • Coordinate applied genomics efforts across multiple university and USDA-ARS breeding programs, including cotton and peanut. • Collaborate with breeding teams to develop genomic resources and genotyping platforms aligned with program-specific breeding objectives. • Serve as a liaison among breeders, researchers, and partner institutions to ensure streamlined collaboration and consistent implementation of genomics tools. • Manage logistical procedures related to genomics implementation, data flow, and coordination across breeding programs. Training, Communication & Stakeholder Engagement • Provide leadership, guidance, and training to breeders, research staff, and collaborators on applied genomics tools, data interpretation, and best practices. • Communicate genomics strategies, results, and impacts effectively to growers, breeders, stakeholders, and program leaders. • Support knowledge transfer and adoption of genomics-based breeding approaches through presentations, workshops, and collaborative discussions. If you are a strategic scientific leader who thrives at the intersection of genomics, data science, and applied breeding and you are motivated by translating complex research into practical tools that strengthen national breeding programs we encourage you to apply and help drive the future of data-informed crop improvement. Minimum Experience/Education: Ph.D. genetics, bioinformatics, computational biology or relevant terminal degree), or relevant Master's degree with at least 2 years of formal post-degree professional work experience, or in rare instances, an individual with a comparable professional experience but less than a master's degree, plus 8 years of exceptional relevant professional experience, will be considered. All degrees must be from appropriately accredited institutions. Required Qualifications: • Strong knowledge of informatics tools such as Linux, linkage mapping software, Python, R-statistical analysis software, and SQL or other databases. • Demonstrated leadership, mentorship, and interdisciplinary group collaboration skills with scientists from diverse disciplines and backgrounds, including good interpersonal and clear English communication skills, both orally and in writing of reports and publications, effective work habits, and the ability to work as part of a team and in a self-directed manner. • Experience with the BreedBase database structure and experience with using it in an applied breeding program. Preferred Qualifications: • Strong knowledge of operations in breeding programs with at least 1 year post-PhD experience in an applied informatics program, proficiency in high-throughput bioinformatics analyses integrating phenotypic and genomic data, and demonstrated associated publications. • Experience in applied genomics in cotton and/or peanut. Required License or Certification: n/a AA/EEO Statement: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Description The Department of Medicine at UCLA is seeking a skilled Bioinformatics Programmer to support innovative clinical and translational research initiatives. This role offers the opportunity to apply computational theory to real-world biomedical research challenges within a collaborative academic environment. The incumbent will contribute to the development, implementation, and maintenance of bioinformatics and data analysis workflows across diverse research applications. Responsibilities include supporting data processing, managing research datasets, assisting with computational analyses, and collaborating with investigators to translate research questions into technical solutions. The role involves structured assignments that require sound judgment, attention to detail, and growing independence in problem-solving. This position is ideal for a technically skilled professional eager to expand their expertise while contributing to impactful research in a leading academic medical center. Hourly range: $33.96-$69.54

Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team 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 opportunity for a motivated and enthusiast Bioinformatics Scientist I to join our growing team! This is a remote US based position. (This position does not offer employment visa sponsorship.) Position Summary Apply advanced knowledge and skills in bioinformatics, computational biology, and data analysis to support both clinical labs and R&D groups. You will collaborate closely with our research scientists and data analysts, contributing to high-impact projects that involve complex data interpretation and algorithm development. Key Responsibilities: • Advanced Data Analysis: Perform sophisticated analysis of genomic, transcriptomic, or proteomic datasets using state-of-the-art bioinformatics tools and pipelines. • Algorithm Development and Optimization: Develop, refine, and implement algorithms for data processing, including sequence alignment, variant calling, gene expression analysis, and network biology. • Software Development: Contribute to the development and enhancement of bioinformatics software tools and pipelines, ensuring they meet the research needs of the team. • Collaborative Research: Work collaboratively with cross-functional teams, providing bioinformatics expertise to support ongoing research projects and studies. • Data Interpretation and Reporting: Analyze and interpret complex biological data, preparing detailed reports and presentations to communicate findings to both technical and non-technical stakeholders. • Literature Review and Research: Stay abreast of the latest bioinformatics methodologies and advancements, integrating new approaches into ongoing projects. • Mentorship and Guidance: Provide guidance to junior team members or interns, sharing your expertise and contributing to a collaborative learning environment. Minimum Qualifications • Education: Master’s degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field. • Technical Expertise: Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java. Experience with high-throughput sequencing data (e.g., RNA-Seq, DNA-Seq) and familiarity with bioinformatics tools like BLAST, GATK, Bowtie, and others. • Analytical Skills: Demonstrated ability to analyze large, complex datasets and derive meaningful insights. • Experience: Previous research experience in bioinformatics, computational biology, or a related field. Preferred Qualifications • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field. • Experience with machine learning or AI applications in biology. Additional Job Standards • Communication Skills: Excellent written and verbal communication skills. Ability to convey complex technical information to both scientific and non-scientific audiences. • Collaboration: Strong interpersonal skills with the ability to work effectively in a multidisciplinary team environment. • Attention to Detail: Meticulous attention to detail with strong organizational and documentation skills Application window open through: 02/21/2026 Pay Range: $90,000 - $110,000 annually (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. 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. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. 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.

The Director of NGS & Bioinformatics for Cell Therapy will lead the strategy and development of next generation sequencing (NGS) and computational analytics to grow AstraZeneca's cell therapy portfolio. You will oversee a diverse team responsible for generating high quality clinical and preclinical NGS datasets, delivering bioinformatic insights that create program decisions, and building scalable infrastructure to support impactful, data driven science. You will bring deep technical expertise in NGS, computational biology, immunology, and complex multiomics analytics. This expertise includes machine learning and AI. You also have the strategic vision to integrate these capabilities into translational, clinical, and regulatory environments. You will report to the Global Head of CPSS Cell Therapy and may be based in Santa Monica, CA or Gaithersburg, MD. You Will: • Provide strategic, scientific, and technical leadership for NGS, single cell, and immunogenomic data generation and analysis across clinical programs. • Lead a team responsible for NGS data generation, bioanalytical workflows and bioinformatic interpretation driving insights with direct clinical impact. • Oversee the design, and optimization of bioinformatics pipelines supporting single cell transcriptomics, and immunorepertoire sequencing at scale. • Guide assay development teams on NGS assay design, sequencing strategy, data quality requirements and readiness. Integrate multiomics datasets to create insights into biomarkers related to safety, mechanism of action, mechanisms of resistance and therapeutic response, shaping program strategy and decision making. • Lead development and application of AI/ML models to enhance prediction, feature extraction, and integrative multiomics analytics. • Improve adoption of cloud based computational infrastructure to support high throughput and enterprise level NGS workflows. • Establish and enforce FAIR aligned data standards, metadata frameworks, and harmonized data practices for genomics and immunogenomics. • Partner with data engineering teams to ensure workflow orchestration, data management, compute scalability, and long-term data lifecycle planning. • Communicate findings, scientific insights to scientific, clinical, and executive stakeholders. • Contribute to internal strategy documents and regulatory support materials. You have: • PhD and 7+ years of industry experience in data science, genomics, bioinformatics, Cell Therapy, or related fields. • Demonstrated expertise in Cell Therapy–related genomics, including immunologic and translational data applications. • Expertise with single cell multiomics and integrative analysis. • Deep technical knowledge of TCRT and CART immunogenomics, including repertoire profiling, clonotype tracking, vector integration, and immune activation/exhaustion signatures. • Background in AI/ML model development or application for biological data. • Experience with NGS assay design, data types, analytical frameworks, and high throughput multiomics approaches. • Handson experience with NGS wet lab workflows and corresponding bioinformatics pipelines for single cell and immune-profiling datasets. • Proficiency with cloud computing environments for scalable data processing. • Knowledge of FAIR data principles, structured metadata, and harmonized genomic data ecosystems. • Familiarity with IT and data engineering infrastructure, including workflow automation, containerization, compute scaling, and storage architectures. • Experience leading a team responsible for NGS data generation and bioinformatics analysis driving cross functional insights and informing clinically decisions. #CellTherapy #LI Onsite The annual base pay for this position ranges from $175K to $263K. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans. Date Posted 24-Feb-2026 Closing Date 05-Mar-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

About the position If you are looking for a company where you can personally advance healthcare and have influence in people’s lives with your bold ideas and unique points of view, consider working at Labcorp as a Bioinformatics Scientist II. In this role, you will be involved with supporting the Companion Diagnostics development lab. You will be involved in the design and implementation of new NGS analysis pipelines in a regulated environment. Demonstrated ability to produce high quality analysis in a fast-paced, high throughput environment is critical. This is an individual contributor role and will be fully home-based within the United States. In more details, you will… Assume responsibility for designing, validating, and implementing new NGS analysis pipelines including software lifecycle (SLC) activities when applicable. Provide statistical expertise for development projects. Work in a fast-paced, high throughput environment to meet client driven timelines. Interact directly with pharma clients and regulatory authorities, including the FDA. Be responsible for revenue generation by bioinformatic client deliverables. Participate in business development activities and presentations to win new business. Support the Quality Management System with good documentation practice and audit internal activities as applicable. Write SOPs, validation, and analysis reports. Function in a fast-paced, high throughput environment. Display and deliver with strong organizational skills and independent drive to sustain productivity and meet deadlines. Exhibit strong interpersonal and teamwork skills Prioritize workload to effectively manage several projects at any given time. Quickly and competently train on and perform new and updated analysis methods. Understand and perform specific tasks that need to be completed daily. Identify and offer suggestions for process improvements. Complete written reports as part of client deliverables. Maintain strong mindfulness and ability to work under pressure to generate high quality data analysis. Thrive personally and professionally at Labcorp Working at Labcorp, you will continue to grow in our learning-based culture, so you will know how to respond and adapt expertly as the industry continues to evolve. Here, you will put your education to work as you play a meaningful role in advancing healthcare and making a difference in people’s lives. In addition, Labcorp offers great benefits, global experience, and the opportunity to work independently within a collaborative environment. What we are looking for The Bioinformatics Scientist II will be most successful at Labcorp with: Experience and Education Requirements: Responsibilities • Assume responsibility for designing, validating, and implementing new NGS analysis pipelines including software lifecycle (SLC) activities when applicable. • Provide statistical expertise for development projects. • Work in a fast-paced, high throughput environment to meet client driven timelines. • Interact directly with pharma clients and regulatory authorities, including the FDA. • Be responsible for revenue generation by bioinformatic client deliverables. • Participate in business development activities and presentations to win new business. • Support the Quality Management System with good documentation practice and audit internal activities as applicable. • Write SOPs, validation, and analysis reports. • Function in a fast-paced, high throughput environment. • Display and deliver with strong organizational skills and independent drive to sustain productivity and meet deadlines. • Exhibit strong interpersonal and teamwork skills • Prioritize workload to effectively manage several projects at any given time. • Quickly and competently train on and perform new and updated analysis methods. • Understand and perform specific tasks that need to be completed daily. • Identify and offer suggestions for process improvements. • Complete written reports as part of client deliverables. • Maintain strong mindfulness and ability to work under pressure to generate high quality data analysis. • Thrive personally and professionally at Labcorp Requirements • PhD in Bioinformatics, Computational Biology, Biostatistics, Biology, Biochemistry, or related field. Experience may be substituted for education. • 5+ years of post-degree bioinformatics experience working on NGS assays are required, including but not limited to RNA-Seq, WGS, WES, or targeted panels. • Full comfort working in a nix-based, command line environment. Bash or other scripting skills are essential. • 5+ years of scientific programming using Python and/or R. • Proficiency in statistical analysis methodologies. • Demonstrated ability to design, code, and validate analysis pipelines. Nice-to-haves • Experience with WDL, CWL, or other workflow development languages. • Experience with implementing workflows in a cloud environment. • Experience with Jira, Git and Oracle Agile PML strongly preferred. • Experience in IVD product development, including design control, strongly preferred. 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.

Description Are you passionate about identifying, defining, and solving some of the hardest problems faced by the nation? Do you love transitioning research into real-world solutions? Do you enjoy working with interdisciplinary teams? If so, we are looking for someone like you to join our team at APL! The Applied Biological Sciences Group (QLA), located within the Asymmetric Operations Sector (AOS), is committed to APL's mission to provide critical contributions to critical challenges. We seek a highly motivated scientist or engineer with expertise in molecular biology, bioinformatics, and computational biology to develop technical solutions to address the biological threats facing our nation. Candidates should be curious, collaborative, and dedicated to leveraging world class expertise to develop real-world solutions for national security and health application spaces as part of a dynamic and innovative interdisciplinary team. APL works across the US Government applying the full spectrum of science and engineering to improve the nation’s ability to safely mitigate biological threats. We partner closely across the whole of the Johns Hopkins enterprise, and with collaborators in government, academia, and industry, to develop innovative science and technology solutions to biosecurity challenges. We strive to ensure the health of individuals and the nation through applied research, which drives development and implementation of ground-breaking capabilities in sensing and detection, threat characterization, modeling and simulation, and more. As a bioinformatics and computational biology professional, you will… • Lead and support bioinformatics and data science aspects of genomics and systems biology projects. • Perform and lead analysis using open-source tools and custom pipelines on a High-Performance Computing (HPC) Cluster. • Perform and lead bioinformatics tasks operating in a Linux environment, using at a minimum BASH, Python, and R languages. • Lead and support sequence analysis on Illumina, PacBio, and Oxford Nanopore data. • Identify and implement analysis tools for multi- ‘omics data mining and fusion. • Lead and support novel bioinformatics and computational biology analyses approaches and tool development. • Leverage your technical expertise and passion for applied research to lead the development of new proposals for intramural and extramural research aimed at pursuing high-risk, high-reward ideas. Qualifications You meet our minimum qualifications for the job if you have... • A Master's degree in Bioinformatics, Computer Science, Molecular Biology, Applied Mathematics or another field relevant to the duties as described above. • At least one year of professional work experience. • Experience developing and leading bioinformatics and computational biology efforts. • Exceptional interpersonal skills and the ability to clearly communicate complex topics. • Competent understanding of statistics and ability to compare and contrast traditional and biostatistics methods to separate noise or quantify significance within multiple 'omics data sets • Ability to work across Windows/iOS and Linux systems, and efficiently manage large data sets for a variety of projects • Familiarity with industry-accepted tools and approaches for biological data analysis including but not limited to metagenomics classification, RNA-Seq, differential expression, etc. • Understanding of assembly and alignment techniques of next-generation sequence fragments and computational resources required to achieve high throughput results. • Ability to model and simulate biological systems in silico using mathematical concepts such as matrices, differential equations, and standard modeling concepts • Familiarity with algorithms in computer science and applied mathematics commonly used for analyzing complex biological data, such as Expectation-Maximization, Dynamic Programming, K-Nearest-Neighbors (KNN), Support Vector Machines (SVMs), Universal Differential Equations (UDEs), and other AI/ML approaches to data analysis and decision support. • Ability to troubleshoot algorithms and implement software programs for the analysis of such data. • Experience with cluster computing environment and/or resource schedulers for high throughput (parallel) computations, and heuristics for dealing with large data sets; Ability to scale analyses across computational loads • Demonstrated ability to keep up to date with open-source software and published literature of new tools and examine capabilities and limitations of such tools for sponsor related requirements. • Eligibility to obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you have... • Experience performing (or familiarity with) laboratory sequencing preparations and workflows • Experience with wet lab molecular biology techniques • Experience developing and leading multidisciplinary teams and projects • Experience with BASH, Python, R and Linux environments. Familiarity with Julia, Claude, and Rust • Ability to utilize and implement Agentic AI tools • Experience working in Unclassified and Classified areas • A publication record in computational biology and/or bioinformatics analysis • A PhD in Bioinformatics, Computer Science, Molecular Biology, Applied Mathematics About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually

About the position At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Bioinformatics Scientist, with limited guidance from more experienced scientists, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist plays an active role in planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data and interpreting results. Working in a team setting, the Bioinformatics Scientist, will primarily be involved in Research and Development projects serving as a technical lead in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products. Responsibilities • Conduct analyses within several product or technology areas and identify problems and discrepancies. • Independently plan and analyze results of bench level experiments within several product or technology areas. • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. • Utilize and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. • Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. • Provide technical input and participate in decisions affecting project planning and experimental design. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. • Generate, document, and communicate development plans for critical aspects of a project. • Participate in the development of research plans and experimental outlines. • Prepare detailed technical procedures, protocols, and reports. • Evaluate impact of nonconforming data to product or process. • Identify and address trends in study data. • Prepare and approve written reports. • Lead identification of areas for process improvements. • Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. • Prepare reports and documentation providing the analysis or summarization of results, outcomes and next steps to supervisor, technical teams/groups, or project teams. • Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; provide technical input as needed. • Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. • Work on problems of diverse and complex scope in which analysis of data requires evaluation of identifiable factors. • Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. • Work on individual assignments and with project team members as appropriate to meet department and project objectives. • Work within project timeframes that are established collaboratively by team members. • Act as technical leader for one or more projects that are moderate to complex in scope. • Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. • Promote an open, collaborative environment built on trust to foster positive teamwork. • Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. • Ability to train and mentor bioinformatics associates. • Ability to organize, present, and convey moderate problems or issues. • Ability to communicate clearly with supervisor and group members. • Demonstrate excellent presentation. • Ability to collaborate, work effectively and contribute within team, department, and cross functional teams. • Demonstrate strong attention to detail skills. • Ability to effectively work on several varied projects at one time, with frequent changing priorities. • Demonstrate excellent analytical, problem solving and decision-making skills. • Apply sound technical knowledge and ability gained through experience and/or learning. • Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company’s Quality Management System policies and procedures. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the organization. Requirements • PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD. • 1+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. • Extensive experience in Linux-based HPC or cloud computing environments and associated tools. • Ability to write custom code in at least three programming or scripting languages. • Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. • Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. • Basic computer skills to include Internet navigation, Email usage, and word processing. • Proficient in Microsoft Office to include Excel, Word, and PowerPoint. • Demonstrated ability to perform the essential duties of the position with or without accommodation. • Authorization to work in the United States without sponsorship. Nice-to-haves • 5+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. • Previous industry experience in product development or technical support. • Background containing a substantial amount of bioinformatics work including troubleshooting. • Previous experience working in a molecular diagnostics/clinical laboratory setting. • Variant calling (SNV/CNV/SV) experience in algorithm development/building pipelines. • Experience with NextFlow to create NGS pipelines. • Experience with AWS or other similar cloud platforms. • Experience with whole exome/targeted panel. • Experience with comprehensive genomic profiling panel design and data analysis. • Machine learning and AI Benefits • Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage.

Position Summary Research Computing supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics. The role will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, bulk RNA-seq, proteomics and image data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines and web-based tools for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Key Responsibilities: • Providing computational support by applying a wide range of bioinformatics tools and technologies; completing assignments independently and on time; consistently adhering to and promoting standard operating procedures and best practices; maintaining and upgrading research computing tools and technologies, migrating data, documenting changes, and adjusting internal processes. • Routinely leading or participating in complex Research Computing projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; coordinating work activities with other stakeholders; contributing to the resulting presentations and/or publications. • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. • Communicating scientific findings clearly through presentations, email, memos, and scientific publications; presenting progress at project and departmental meetings; facilitating productive discussions and problem-solving. Minimum Qualifications Education: • Bachelor's degree in science, technology, engineering or mathematics. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. Experience: • A minimum of one year of position-specific experience. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments and web development, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, proteomics, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. Cloud computing tools would be a bonus. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals. The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

Summary Post-Doctoral Scientist position - This position is in the Center for Childhood Cancer Research in Dr. Alex Bishop’s lab. Our team is focused on understanding the underlying biology that is dysregulated in Ewing sarcoma with the long term goal of identifying therapeutic vulnerabilities. The postdoc is expected to take a lead role in a project investigating the biology of R-loops in Ewing sarcoma (mechanistic regulation, modulation, dependency programs and targeting) using molecular cell biology, genomics, single cell and microscopic techniques. Experience in some or all of these areas is desirable. Motivation and interest to drive and develop the project is critical for success as is a willingness to participate in a collaborative environment. Read more about the center at the link below: Center for Childhood Cancer Research Essential Functions • Conducts research under the guidance of a faculty mentor. • Assists in the training and supervision of technical support staff in performing research essential to carrying out the research program. • Records and analyzes data generated by the research study. Assists in the development of hypotheses for further investigation from the results of the studies performed. • Assists with the preparation of scientific and technical papers for publication in peer-reviewed journals. Presents findings at local and national research forums. • Collaborates with other ongoing research efforts either at NCH or at The Ohio State University. • Works toward research independence, preparing to submit proposals to and obtain funding from external granting agencies. Education • PhD or equivalent degree in relevant field of science, required. Skills • Effective interpersonal skills required in interactions with scientists, physicians, and laboratory colleagues. • Excellent computer skills. • Skills in qualitative and quantitative research methods. • Ability to proactively manage and drive projects.