Bioinformatics Jobs

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We are seeking a highly skilled and motivated Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. The ideal candidate will have a strong foundation in bioinformatics and data analysis, with hands-on experience working with multiomic and single-cell data. This role focuses on generating high-quality analyses that support scientific publications, conference presentations, and customer-facing enablement. The candidate will collaborate closely with internal scientific teams and external partners to advance our multiomics platform and drive impactful research outcomes. This role will report to the VP, Bioinformatics and Scientific Affairs and is a 1-year post-doc program with the possibility of conversion to a full-time employment at the end of the program. If you possess the following and want to make a meaningful impact, we invite you to explore this role. Essential Functions and Responsibilities: Design, execute, and interpret multiomic and single-cell data analyses to generate publication-quality scientific insightsDevelop and maintain bioinformatics pipelines and software tools to support platform development and customer enablementContribute to scientific publications and conference presentations, including manuscript preparation, figure generation, and data visualizationCollaborate closely with wet-lab scientists, product teams, and external partners to design experiments and interpret resultsApply statistical methods and exploratory data analysis to large multiomic datasets to identify biologically meaningful patternsCommunicate scientific findings to internal stakeholders and external audiences through reports, presentations, and peer-reviewed publicationsStay current with advances in sequencing technologies, multiomics methods, and bioinformatics best practicesEducation and Experience: PhD degree in Bioinformatics, Computational Biology, Genomics, or a related field with 0-3 years of experienceDemonstrated experience in bioinformatics data analysis, including RNA-seq, single-cell, and/or multiomic workflowsProficiency in working with multiomic and single-cell data (e.g., scRNA-seq, CITE-seq, spatial transcriptomics)Strong background in statistics and experimental design, including experience with differential expression and multi-group comparisonsProficiency in programming languages and tools such as Python, R, and Bash, with experience in relevant bioinformatics libraries (e.g., Seurat, Scanpy, DESeq2)Experience with cloud computing platforms (e.g., AWS)Familiarity with standard bioinformatics tools, databases, and pipelines (e.g., STAR, GATK, CellRanger, cloud-based HPC environments such as AWS)Track record of scientific contribution, including peer-reviewed publications or conference presentationsExperience with next-generation sequencing platforms and genomics workflows; familiarity with sequencing data QC and benchmarking is a plusExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsLocation: San Diego onsite (hybrid potential)Travel: Domestic travel up to 10%Job Type: Post-doc program (1 year contract)Base Compensation Pay Range: $95,000 - $110,000 In addition to base compensation noted above, you will be eligible for no cost health insurance plans, 401k with company match, and flexible paid time off. Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

Help us change lives At Exact Sciences, we're helpingchange 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. Essential Duties Include, but are not limited to, the following: 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.Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.Ability to work on a computer and phone simultaneously.Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications 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. Preferred Qualifications 2+ years of industry or academic experience, post doc.Experience in an FDA-regulated environment, ideally in medical device development.Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment.#LI-BH1 Salary Range: $84,000 - $138,000 (National salary range) $97,000 - $159,000 (California salary range) The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible. 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. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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

The Opportunity QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. The Role At QuidelOrtho, we're advancing the power of diagnostics for a healthier future for all. Join our mission as our next Staff Scientist to support Bioinformatics. The Staff Scientist, Bioinformatics is responsible for leading bioinformatics activities that support molecular assay development across QuidelOrtho's diagnostic portfolio. This role drives computational analysis, target selection, primer/probe design, and in-silico inclusivity and exclusivity evaluations to enable robust, high-performance assays. The individual will develop and optimize bioinformatics pipelines, manage large genomic databases, and provide scientific guidance to project teams during feasibility, design, and verification phases. This position will be onsite full-time in San Diego, Ca (Sorrento Valley). The Responsibilities Lead the end-to-end computational workflow for assaydesign, including target identification, region analysis,primer/probe evaluation, and in-silico validation workflows.Build, maintain, and optimize internal bioinformatics pipelines (Python, Biopython, YAML configurations, PostgreSQL) for inclusivity analysis, exclusivity analysis sequence slicing, alignment interpretation, variant identification, and reporting.Design and execute computational assessments of genomic and transcriptomic datasets (NCBI SRA, RNA-Seq expression data, high-coverage genomic databases) to support target selection and assay feasibility.Perform BLAST-based region screening against inclusivity/exclusivity databases (viral, bacterial, fungal, human genome/microbiome) to evaluate off-target interactions and identify high-confidence primer and probe binding sites.Generate curated datasets, alignment summaries, variant reports, and performance-impact analyses for use in assay optimization and troubleshooting.Conduct oligo interaction modeling using thermodynamic calculations (e.g., G analysis, melting temperature, longest contiguous window assessments) to evaluate primer/probe dimerization or secondary structure risks.Partner closely with Molecular Assay Development, R&D, Systems Engineering, and Data Science to ensure computational insights are integrated into experimental workflows and design decisions.Maintain high-performance compute environments and associated databases to support pipeline development (e.g., BLAST DBs, PostgreSQL storage, GPU-accelerated workflows).Prepare clear, traceable reports and documentation enabling reproducibility, regulatory support, cross-functional communication, and design history files.Perform other work-related duties as assigned. The Individual Required: Ph.D. in Bioinformatics, Computational Biology, Molecular Biology, or related field; or M.S. with 5+ years of relevant diagnostic industry experience.Expert-level experience in Python, Biopython, YAML, and shell-based environments for pipeline development.Strong knowledge of PostgreSQL, relational database structure, and genomic data storage/curation.Deep understanding of genomics, transcriptomics, and molecular assay design principles (primer/probe thermodynamics, secondary structure modeling, amplicondesign). Demonstrated experience performing in-silico inclusivity/exclusivity analyses, BLAST-based real estate screening, variant interpretation, and sequence alignment.Familiarity with NGS datasets, RNA-Seq data analysis, and public repositories (NCBI, SRA).Strong ability to interpret complex genomic data and communicate actionable recommendations to laboratory scientists and cross-functional teams.Excellent documentation, reporting, and traceability practices aligned with regulated environments.Ability to work collaboratively in a fast-paced R&D environment.This position is not currently eligible for visa sponsorship. Preferred: Experience with high-performance compute environments (GPU systems, multi-core servers, RAID storage).Knowledge of diagnostic assay chemistries (RT-PCR, TMA, Invader, qStar, or similar).Experience supporting Design History Files or regulatory submissions for diagnostic products.Familiarity with melting-temperature modeling and thermodynamic tools (e.g., MELTING5).Experience contributing to feasibility, verification, and validation of molecular assays. The Key Working Relationships Internal Partners: Molecular Assay Development Team - collaborative design, primer/probe review, troubleshooting recommendations.Virology & Microbiology Teams - input on organism selection and genomic real estate.Systems Engineering & Data Science - integration of computational tools, pipeline scaling, and systems compatibility.R&D Program Management - timeline alignment, risk mitigation, and feasibility assessments.Quality & Regulatory Affairs - documentation, traceability, and design history support.Software/IT Infrastructure - high-performance server maintenance, data storage, and workflow optimization.External Partners: Bioinformatics tool vendors / software partners - coordination on licensed or optional computational tools (e.g., OMP engine).Academic collaborators / genome repositories - access to genomic/transcriptomic datasets.External sequencing partners or CROs - support additional data generation or large-scale analyses when needed. The Work Environment The work environment characteristics are representative of a laboratory/ BSL 2 environment and includes handling of viral and bacterial hazards, potentially hazardous chemicals, as well as infectious or potentially infectious bodily fluids, tissues, and samples. Up to 75% standing or sitting extended periods of time. Flexible work hours to meet project deadlines. Physical Demands Position requires ability to lift up to 20 lbs. on a regular basis. Walking, standing, and sitting for long periods of time (up to 75% of the day) are routine to accomplish tasks in this role. Specific vision abilities required by this job include close and distance vision and the ability to adjust focus. Personal protective equipment is required as posted. Salary Transparency The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $125,000 to $150,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. Equal Opportunity QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com.

Bioinformatics Scientist Please ensure you read the below overview and requirements for this employment opportunity completely. South San Francisco (Hybrid) Our client is a high-growth genomics company building one of the fastest DNA and RNA sequencing platforms in the world, used daily by thousands of scientists across industry and academia. They are bootstrapped, profitable, and rapidly scaling a global sequencing infrastructure that turns biological samples into answers in hours instead of weeks. About the Role This role sits on the core bioinformatics team building the production pipelines and algorithms that power large-scale sequencing services across plasmid, microbial, and RNA-seq applications. You will design, implement, and own high-throughput workflows that process thousands of samples per day while translating noisy real-world sequencing data into accurate, actionable insights for researchers. Responsibilities Design, build, and maintain production-grade bioinformatics workflows that scale to thousands of samples per day using modern workflow orchestration tools. Develop and optimize algorithms for microbial genomics, variant calling, and/or bulk and single-cell RNA-seq, from raw reads through to interpretable results. Integrate and evaluate cutting-edge sequencing tools and methods, incorporating them into robust, automated pipelines for Illumina and Oxford Nanopore platforms. Debug and harden pipelines against real-world data issues, including biological artifacts, platform-specific quirks, and large, heterogeneous datasets. Collaborate with product and engineering teams to turn bioinformatics outputs into fast, intuitive user experiences for scientists. Mentor teammates, contribute to code review and technical design, and help raise the overall bar on bioinformatics best practices. Contribute to the design and implementation of new analyses and services as the company expands beyond plasmid sequencing into broader genomics offerings. Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Biology, or a related quantitative field. 3+ years of experience (including post-PhD) developing production bioinformatics pipelines, with at least 2 years in an industry setting. Deep expertise in one or more areas: microbial genomics (assembly/metagenomics), large-scale variant calling, or bulk/single-cell RNA-seq analysis. Significant hands-on experience with Nextflow (preferred) and/or Snakemake for workflow development and orchestration. Proficiency in Python and common bioinformatics tooling, including containerization (Docker/Apptainer or similar), Git, and Linux-based environments. Practical experience working with Illumina and/or Oxford Nanopore sequencing data at scale. Demonstrated track record of contributing to bioinformatics products or tools beyond one-off analyses or academic pipelines. Comfort operating in a fast-moving, high-ownership environment with loosely defined paths and significant autonomy. Required Skills Novel bioinformatics tool or algorithm contributions (e.g., open-source projects, widely used internal tools, or published methods). Background in microbial ecology, metagenomics, or related fields that strengthens the team's expertise in microbial genomics. Experience building scalable bioinformatics products used by external customers or large internal user bases. Prior experience in high-growth startups or similarly dynamic, less structured environments. xrczosw Familiarity with C++ or other performant languages for optimizing core algorithms.

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration. Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position. n Roles and Responsibilities Prep and Process data through GATC platform based on customer or internal end user requirements. Implement primary and secondary analysis tools for GATC’s assays. Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications. Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples. Engage with external collaborators on the evaluation of beta version products and analysis of novel data. Role Requirements Degree in computational biology, bioinformatics, computer science or similar. Experience analyzing complex multi-omic datasets, including human or single cell data. Experience implementing, and evaluating novel bioinformatics algorithms and pipelines. Experience in programming in scripting (Python or similar) and interpreted languages (R, etc). Demonstrated ability to become proficient in new fields and work with interdisciplinary teams. Excellent verbal/written communication and interpersonal skills with scientist and non-scientists. Role Preferences Experience using or interfacing with machine learning algorithms. Experience analyzing and interpreting large-scale human or single cell datasets. Experience with professional software development methods and tools in a team environment. Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java). Experience working with collaborators, including lab scientists on multi-omic method development. Experience visualizing scientific datasets and results. Experience using cloud computing environments. Computational biology and bioinformatics innovation. n$70,000 - $85,000 a yearnWhy Join Us: • Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery. • Collaborative and inclusive work culture that values diversity, creativity, and continuous learning. • Competitive compensation package, including salary, benefits, and opportunities for professional development. • Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.

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

Bioinformatics Scientist (Discovery Biology) Neurona Therapeutics is a clinical stage biotechnology company based in South San Francisco focused on the development of neuronal cell-based therapies for neurological diseases. Our ideal candidate is a self-motivated individual who has a passion for scientific research. This is a fantastic opportunity to join a small team, work on transformative science, and take part in building an exciting, science-driven company. The role: We are seeking a talented and motivated Bioinformatics Data Scientist to help expand, scale and optimize our single cell transcriptomics and multiomics workflows. In this role, you will collaborate with a small team of experimental and computational R&D scientists and play a key part in expanding our pipeline capabilities towards biomarker discovery, characterization of leading cell therapy product candidates, as well as fuel novel product development. The finalist’s job title and leveling will be dependent on experience. Responsibilities include: Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations Integrate novel cutting-edge tools and analytical approaches into existing pipelines Contribute to infrastructure and workflow improvements Build and maintain platforms for data visualization Maintain detailed records up to industry standards for reproducible computing (data, code, and environments) Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings Required Qualifications: PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field Demonstrated track record, including research publications, working with NGS pipelines Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization Solid foundation in molecular biology and hands-on experience with Illumina sequencing Proficiency in R, Python or similar language, and ability to implement open-source packages Experience with large-scale multiomic data processing, storage, and visualization strategies Competency to read and incorporate newly published approaches for analysis Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment High integrity, great organization and ability to multitask while working within fast-paced timelines Excellent written and verbal communication skills Collaborative team player with a problem-solver mindset Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity Preferred Qualifications: Experience with single cell ATACseq and spatial transcriptomics General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics Experience building intuitive web tools for bioinformatics analysis Foundational knowledge of neuroscience, stem cell biology, and developmental biology Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types 1+ years of wet lab experience is a plus This job description is not exhaustive and not intended to cover all activities of the position. Duties, responsibilities and activities may change, or new ones may be assigned at any time with or without notice. Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment. Interested in learning more about our science and our team? Please visit our website at www.neuronatherapeutics.com. Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment. Recruitment Fraud Notice We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position. If you believe you have been a victim of a phishing scam, please visit the Cybersecurity & Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.

Job Description: Analyze RNA-seq datasets, including preprocessing, QC, normalization, and differential expression analysis Develop and maintain bioinformatics pipelines for transcriptomic data Apply statistical and machine learning methods to identify diagnostic or predictive biomarkers Build and evaluate predictive models, including deep learning approaches Explore applications of large language models (LLMs) or multimodal AI in biological data analysis Collaborate with cross-functional teams to interpret results and guide experimental design Communicate findings through reports, visualizations, and presentations Requirements: PhD candidate or PhD degree in Bioinformatics, Computational Biology, Biology, or a related field Hands-on experience with RNA-seq data analysis Strong programming skills in R and/or Python Familiarity with Linux/Unix environments and proficiency in bash scripting Formal training in statistics and machine learning Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience developing or applying deep learning models Familiarity with large language models (LLMs) or generative AI applications in biology Experience with NGS pipelines and tools (e.g., STAR, Salmon, nf-core, etc.) Experience working in high-performance computing (HPC) or cloud environments Strong data visualization and communication skills Benefits: Flexible, part-time engagement with meaningful scientific impact Opportunity to work on cutting-edge RNA-seq datasets from clinical samples Collaboration with a highly experienced, multidisciplinary team

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. Within the Clinical Sequencing Division, bioinformatics plays an important role in enabling precision oncology diagnostics and advancing genomic medicine. Location/Division-Specific Information: Carlsbad, CA, or Austin, TX. Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship. *Must be able to pass a comprehensive background check, which includes a drug screen. Discover Impactful Work: As a Scientist III, Bioinformatics, you will contribute to the development and maintenance of bioinformatics applications, data systems, and computational workflows that support next-generation sequencing (NGS) companion diagnostic (CDx) assay development. In this role, you will collaborate with scientists, engineers, and cross-functional partners to develop tools and workflows that support genomic data analysis, assay development, and regulated diagnostic programs. Your work will help ensure that bioinformatics systems supporting diagnostic development are reliable, reproducible, and well-documented. You will also contribute to emerging initiatives that explore the use of AI-enabled tools to enhance bioinformatics workflows, data analysis, and internal scientific applications. This position combines bioinformatics expertise with scientific software development to support scalable genomic analysis and integration with laboratory and data management systems. A Day in the Life: Bioinformatics Application Development Develop and maintain internal bioinformatics applications and computational tools to support genomic data analysis and the development of companion diagnostic assays. Workflow and Pipeline Development Implement and improve automated workflows for next-generation sequencing (NGS) data processing and analysis using scripting languages and workflow frameworks. Data Systems and Integration Support development and integration of bioinformatics workflows with data systems, databases, and laboratory information management systems (LIMS). AI-Enabled Workflow Support Contribute to the evaluation and integration of AI-enabled tools that enhance bioinformatics workflows, scientific data analysis, and internal research applications. Cross-Functional Collaboration and Documentation Work with scientists, engineers, and program teams to develop computational solutions supporting diagnostic development and document workflows to ensure reproducibility and maintainability within regulated environments. Keys to Success Education Bachelor’s in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related field required. Experience 5 years of experience in bioinformatics and NGS data analysis (Advanced degree plus 3 years of experience).Experience programming in Python or a similar language.Experience working in Linux or Unix environments.Experience developing or supporting bioinformatics pipelines or analysis tools.Familiarity with next-generation sequencing (NGS) data analysis.Experience using version control systems such as Git.Experience collaborating with cross-functional scientific teams. Knowledge, Skills, and Abilities Programming and Scientific Computing Proficiency in Python or similar programming languages.Experience developing scripts, tools, or applications for scientific data analysis.Familiarity with software development practices such as version control and documentation. Bioinformatics and Genomics Understanding of common bioinformatics workflows and sequencing data formats.Experience working with genomic datasets. Data Systems Familiarity with databases or structured data systems (e.g., SQL).Experience working with large or complex scientific datasets. Workflow and Infrastructure Familiarity with workflow frameworks such as Nextflow, Snakemake, or similar tools.Experience with container technologies such as Docker is helpful.Exposure to cloud computing platforms such as AWS or GCP is beneficial. AI and Emerging Technologies Exposure to AI or machine learning tools used in scientific computing or data analysis is a plus.Interest in applying AI-enabled tools to improve scientific workflows. Collaboration and Communication Ability to communicate technical information clearly.Ability to work effectively in collaborative, multidisciplinary teams.Strong problem-solving and analytical skills. Benefits: We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in California is $95,900.00–$120,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards