Bioinformatics Jobs

Position Summary: Research Informatics 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 scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics. You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. 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; With supervision and direction, completing assignments in the required timeframe while consistently adhering to standard operating procedures and best practices; adapting to a changing environment, resolving problems associated with assignments and seeking supervisor assistance when needed.Routinely co-leading or participating in 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.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 open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.Extensive knowledge of technologies used in support of biomedical research, such as R, Python, databases (SQL), version control (Git), scientific workflow and AI tools, and HPC clusters. Cloud computing tools would be a bonus.Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audiences; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings.

Job Description Bioinformatics Expert n n Position: Bioinformatics Expert n n Type: Hourly Contract n n Compensation: $90–$110/hour n n Location: Remote n n About the Opportunity n We’re seeking experienced bioinformatics professionals to create scientific data-analysis tasks for AI model training. You’ll work with real biological datasets, develop reproducible computational analyses, and evaluate results to ensure scientific accuracy and clear interpretation. n Key Responsibilities…

Are you ready to harness multi-omics, comparative genomics, and agentic AI to accelerate vaccines and immune therapies from discovery to the clinic? In this role, you will transform complex human and pathogen datasets into clear, decision-driving insights that shape antigen design, patient stratification, and translational strategy across high-priority programs. Based in Cambridge, MA you will work in a collaborative, multidisciplinary environment alongside immunologists, molecular biologists, and data scientists. If you thrive at the intersection of computation and experiment—designing reproducible pipelines on HPC and cloud platforms while partnering closely with the lab to iterate rapidly—this role offers the opportunity to influence study design, guide go/no-go decisions, and help advance novel immune-based therapies toward patients. Accountabilities You will design, implement, and deliver robust analyses across genomics, bulk and single-cell transcriptomics, and multi-omics to answer program-critical questions with statistical rigor. You will assemble genomes, call variants, and perform comparative genomics and phylogenetic analyses on bacterial and viral pathogens to inform antigen selection and surveillance strategy.You will apply machine learning and statistical modeling to discover biomarkers, stratify patients, predict antigen immunogenicity, and forecast treatment response, translating model outputs into actionable program recommendations. You will also build, optimize, and maintain reproducible workflows using HPC schedulers and AWS to scale analyses, reduce turnaround time, and ensure traceability. In addition, you will design and integrate LLM-powered agentic workflows for literature mining, data extraction, and pipeline orchestration to accelerate discovery and improve developer productivity. Working closely with experimental scientists, you will propose computationally informed experiments, interpret results, and refine study designs to improve confidence and reduce cycle time. You will generate translational insights through differential expression, pathway enrichment, and functional annotation, connecting molecular signals to biological mechanisms and clinical hypotheses. You will produce publication-quality visualizations and reports, present findings clearly to cross-functional stakeholders, and champion version control, workflow managers, and reproducible research practices to strengthen code quality and method sharing across programs. Finally, you will stay current with emerging tools in bioinformatics, AI/ML, and agentic AI, piloting new approaches, sharing learnings, and scaling successful methods across the portfolio. Essential Skills and Experience You should have a PhD in Bioinformatics, Computational Biology, Genomics, Molecular Biology, Computer Science, or a closely related quantitative discipline, with 2–5 years of industry experience.Alternatively, you may have an MS in a relevant discipline with 4–6 years of industry experience in bioinformatics, computational biology, or genomics.A demonstrated track record of independent research through publications, conference presentations, or successful project delivery is expected.You should bring proficiency in R and/or Python for genomic data analysis, statistical computing, and data visualization, including tools such as ggplot2, Bioconductor, tidyverse, pandas, and scikit-learn.Hands-on experience with NGS data analysis is required, including alignment tools such as STAR, BWA, and Bowtie2; quantification tools such as Salmon, featureCounts, and HTSeq; and variant calling tools such as GATK and bcftools.You should be familiar with RNA-seq analysis workflows, including differential expression methods such as DESeq2, edgeR, and limma, as well as pathway analysis and gene set enrichment approaches such as ssGSEA and MSigDB. Experience working in Linux/Unix environments and with HPC job schedulers such as SLURM, SGE, or PBS, and/or cloud computing platforms such as AWS or GCP, is important. You should also have working knowledge of Git/GitHub and reproducible research practices, including Nextflow or similar workflow managers. A solid understanding of molecular biology fundamentals, genome annotation, and public bioinformatics databases such as NCBI, Ensembl, UniProt, and PDB is required, along with foundational knowledge of machine learning concepts and applied statistics relevant to biomarker discovery and genomic data. Success in this role will also require strong analytical thinking, creative problem-solving, and the ability to translate complex datasets into actionable biological insights. You should have excellent written and verbal communication skills, a collaborative mindset, intellectual curiosity, and the ability to manage multiple priorities and deliver results within timelines. Desirable Skills and Experience Experience in at least one therapeutic area—infectious diseases, oncology, or inflammatory disease—would be valuable. We also welcome experience with comparative genomics and microbial or viral genome analysis, including pangenome methods, AMR gene detection, and phylogenetics. Additional desirable experience includes building predictive and prognostic models using supervised and unsupervised machine learning methods on clinical or preclinical omics data; familiarity with deep learning frameworks such as PyTorch and TensorFlow; and exposure to biological foundation models such as ESM, EvolutionaryScale, scGPT, TranscriptFormer, and Evo. We also value experience with or strong interest in agentic AI workflows for bioinformatics, including LLM-orchestrated pipelines, retrieval-augmented generation (RAG) for scientific literature, and tool-using AI agents that interact with databases and analysis tools. Proficiency with AI-assisted coding tools such as Claude Code or GitHub Copilot is a plus. Exposure to single-cell RNA-seq tools such as Seurat, Scanpy, and CellRanger; knowledge of structural biology tools, protein modeling, or antigen/antibody design; and experience with containerization and infrastructure-as-code would also be beneficial. Familiarity with LLM APIs and prompt engineering for scientific applications, including structured output generation and multi-agent system design, is also desirable. Why AstraZeneca At AstraZeneca, ambitious science meets everyday collaboration. Here, bioinformaticians, immunologists, clinicians, and engineers come together to share knowledge openly, challenge ideas constructively, and learn from setbacks as they work toward better solutions. You will contribute across diverse therapy areas, with visibility into decisions that matter and support from leaders who encourage experimentation and innovation. We pair rigorous scientific standards with creativity and value kindness alongside ambition. Most importantly, we connect each individual’s contribution to a clear purpose: translating insights into medicines that can change patients’ lives. If you are ready to turn data, models, and modern AI into faster, smarter decisions for patients, we encourage you to apply and show us how you can make an impact from day one. The annual base pay for this position ranges from $115,992.00 - $172,671.60. 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 13-Oct-2026 Closing Date 30-Oct-2026Our 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.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. #LI-AS4 ZS Discovery partners with pharmaceutical and biotech clients to accelerate the discovery of safer, more effective therapeutics. The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to help research organizations become more productive, more data-driven, and more confident in their decisions. As a venture within ZS building toward practice status, Discovery combines agility and innovation with the resources and knowledge of the broader firm. Bioinformatics Leader ZSD’s bioinformatics team delivers work spanning multi-omics analysis, computational biology, GxP pipeline development, and platform architecture for some of the world’s largest pharma and biotech companies. This role sits at the senior end of the delivery team: leading engagements, building client relationships, and contributing to business development. You will work as a trusted advisor to R&D leaders, helping them think through how bioinformatics can accelerate their programs. What you’ll do: Lead bioinformatics strategy and execution across assigned Discovery client engagements, serving as the primary scientific and analytical point of contactContribute to business development efforts by shaping proposals, identifying expansion opportunities within existing accounts, and supporting client conversationsDesign and implement computational workflows for analysis of multi-omic data (genomics, transcriptomics, proteomics) in drug discovery and translational contextsTranslate complex biological questions into analytical frameworks, delivering clear, client-ready insights to research and R&D stakeholdersCollaborate with cross-functional teams, including scientific strategy, AI, data, and technology, to deliver integrated solutions across the Discovery portfolioMentor and guide junior bioinformatics staff, supporting their technical development and project contributionsStay current on emerging tools, platforms, and methods in bioinformatics and apply relevant advances to client workSupport the development of ZSD’s bioinformatics capabilities, including internal tools, methodologies, and thought leadershipWhat you’ll bring: Advanced degree (PhD or Master’s) in bioinformatics, computational biology, genomics, or a closely related field, or equivalent applied experienceDeep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R, Nextflow, Snakemake) and experience with cloud-based compute environmentsDomain expertise in at least one biological modality—such as genomics, transcriptomics, or single-cell—with AI and ML applied as tools within a broader scientific contextExperience working with human patient-level data and multimodal datasets (omics, imaging, clinical/RWE) in a translational or drug discovery settingStrong communication skills with the ability to present complex analytical findings to both scientific and non-scientific audiencesExperience in a consulting firm, CRO, biotech, or pharma R&D environment preferred; client-facing or professional services experience is a plusCollaborative spirit and the ability to work across teams with diverse scientific and functional backgroundsFluency in EnglishClient-first mentalityIntense work ethicCollaborative spirit and problem-solving approach How you’ll grow: Cross-functional skills development & custom learning pathwaysMilestone training programs aligned to career progression opportunitiesInternal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Work Authorization: This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. To complete your application: An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Advertising Summary: Virginia Commonwealth University (VCU) School of Medicine is a premier academic medical center located in the heart of Richmond. Accounting for almost half of VCU’s sponsored research, the School of Medicine is internationally recognized for patient care and education. Virginia Commonwealth University is an equal opportunity employer. Unit: School Of Medicine MBU Department: Cellular, Molecular and Genetic Medicine Department Summary: The Department of Cellular, Molecular and Genetic Medicine is dedicated to unraveling the fundamental biology that supports health and drives disease. Our faculty, trainees and students tackle some of the most pressing challenges in biomedical science, from the molecular and genetic roots of disease to the complexities of whole-body physiology. Our foundational studies are driving the frontiers of scientific discovery, pushing the boundaries of what we understand about biology, disease and the human body. From our labs in downtown Richmond to research collaborations around the world, our work is generating new knowledge, influencing the direction of biological science and redefining what is possible in biomedical research. We are proud to be a community of passionate educators and mentors, deeply committed to empowering the next generation of scientists and leaders. With alumni enjoying successful careers across a broad spectrum of industries, our rigorous training programs offer students a transformative education that drives innovation today and creates lasting impact for tomorrow. Position Summary: CMGM seeks a part-time, hourly Bioinformatics Research Associate to develop large language model (LLM)-based bioinformatics pipelines. The associate will use Python, software development, and cloud computing to build, evaluate, and maintain reproducible research workflows. Duties & Responsibilities: Develop and evaluate LLM-based bioinformatics pipelines Integrate LLMs with bioinformatics tools and cloud computing resources Write, test, debug, and maintain Python software and reusable pipeline components Document workflows, assess output quality, and communicate results to the research team Qualifications: Minimum Qualifications High school diploma or equivalent required At least 2 years of lab experience which may include student experience Bachelor's degree in related science will be considered in lieu of experience Demonstrated skills in Python programming, LLM development, bioinformatics pipeline development, software development, and cloud computing Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a hourly employee at VCU Preferred Qualifications PhD in bioinformatics, computer science, or a related field Salary Range: $25-$30/hr Benefits : All VCU employee types are eligible for a wide array of benefits to support you during your employment at VCU. Consult the benefits website for information on benefits eligibility according to employee type. FLSA Exemption Status: Non-Exempt This is a restricted position with no set end date; continued employment is dependent upon project need, availability of funding, and performance. Hours per Week: 29 Flexible Work Arrangement: Fully Onsite Contact Information: Contact Name: Jinze Liu, Ph.D. Contact Email: Jinze.Liu@vcuhealth.org

Join a dynamic and interdisciplinary team pushing the frontiers of large-scale microbial genomics, metagenomics, and phage–bacteria interaction biology under the leadership of Dr. Xiaofang Jiang in the Division of Intramural Research (DIR) at the National Library of Medicine (NLM). About the position The NLM is one of the 27 institutes at the National Institutes of Health (NIH). The NLM is the world’s largest biomedical library and a leader in research, development, and training in biomedical informatics and health information technology. The DIR within the NLM has two primary research areas: computational health research and computational biology. In computational health research, our efforts center on natural language processing (NLP), clinical image analysis, biomedical ontologies, information modeling, and clinical data analytics. In computational biology, we emphasize transcriptional regulation, chromatin and network biology, structural and functional analysis, sequence statistics, and evolutionary genomics. The Jiang Lab combines comparative genomics, evolutionary bioinformatics, and large-scale microbial data analysis to uncover novel microbial pathways, identify gene clusters of functional relevance, and understand host–microbiome–phage interactions. The selected candidate will contribute to ongoing work and develop independent computational research directions. Tasks candidate is expected to take on: Identify and characterize microbial gene clusters involved in specialized metabolism or host interaction. Perform knowledge-based functional annotation of biosynthetic and metabolic pathways. Conduct large-scale microbial comparative genomics and evolutionary analyses. Build and analyze phage-bacteria interaction networks using multi-omic datasets. Maintain reproducible workflows using Python, R, Bash, or equivalent. Tasks candidate might take on: Apply protein structure prediction tools (AlphaFold, Rosetta, etc.) to unexplored microbial proteins. Contribute to metagenomic analyses of complex communities (assembly, binning, taxonomic profiling). Develop open-source computational pipelines for functional discovery in microbial genomes. Mentor junior trainees in computational genomics. Position Overview: This is a full-time postdoctoral fellow position. The initial appointment will be for one year, and is renewable on a yearly basis, with extensions up to 5 years total. The NIH offers a competitive stipend (based on postdoctoral experience, see stipend tables ) and a stipend supplement for comprehensive health insurance. The NIH is dedicated to the continued education and career development of all its research staff. Candidates are subject to a background investigation. Explore additional information about NIH postdoctoral fellowships . What you'll need to apply Applicants must submit the following materials to Xiaofang Jiang at Xiaofang.jiang@nih.gov : Updated CV Statement of research interest Contact information for 3 references (please include the full name with titles, institute, email address and phone number of each reference). Prospective candidates should include " Postdoctoral Fellow in Microbial Genomics and Bioinformatics " and their last name in the email subject line. Application Deadline: Applications will be accepted until the position is filled. Contact name Dr. Xiaofang Jiang Contact email xiaofang.jiang@nih.gov Qualifications Essential: Ph.D. (earned within the last 5 years) in Bioinformatics, Microbiology, Virology, Computational Biology, or a related field with intensive bioinformatics training. Strong programming proficiency in Python, R, and Bash. Demonstrated productivity through recent or pending publications. Excellent oral and written communication skills. Strong sense of organization, independence, and accountability. Prior experience in at least two of the following: Protein structure modeling/prediction; Structural bioinformatics; Comparative genomics; Metagenomic analysis; Large-scale genomic data analysis; Evolutionary genomics Preferred: Experience developing computational pipelines or software packages. Experience analyzing multi-omic (genomic, metagenomic, metatranscriptomic) datasets. Background in microbial metabolism, phage biology, or biosynthetic pathways.

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CAJob Type: Full-time (Hybrid)Equity: Highly Competitive Equity About Our ClientVivo HealthStaff has partnered with one of our clients & they are on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Their sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists. They began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster. Now, they are expanding that same disruptive model across all of genomics, including a new RNA-seq service, to provide scientists everywhere with faster and more affordable access to data. Every team member plays a crucial role in driving the future of biotech research, building the world's most efficient sequencing engine that operates overnight and scales globally.Position OverviewWe are seeking a highly motivated mid- to senior-level Bioinformatics Scientist to work on the bioinformatics engine that powers this impact. This role is heavily bioinformatics-focused, emphasizing deep domain expertise and the building of scalable products over general software platform skills. You will wear many hats, leading projects from concept through production while maintaining strong ownership of your work. Key ResponsibilitiesBuild blazing-fast, production-grade bioinformatics workflows that process thousands of samples per day. Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights. Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. Translate bioinformatics outputs into a dynamic scientific UX that feels magical to researchers. Stay on top of cutting-edge tools and find creative ways to integrate them into real-world pipelines. Mentor teammates and grow your own skills in a fast-moving, collaborative environment. Qualifications & RequirementsEducation: PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field.Experience: 3+ years of experience developing production bioinformatics pipelines. Industry Background: Minimum of 2 years of industry experience; candidates whose only experience is in academia will not be considered.Domain Expertise: Strong background in microbial ecology or related fields, with a distinct preference for expertise in microbial genomics.Technical Tools: Significant, hands-on experience with Nextflow and Docker is critical for pipeline development. Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required.Sequencing Data: Hands-on work with Illumina or Oxford Nanopore sequencing platforms.Product Impact: Proven experience building scalable bioinformatics products and clear evidence of delivering impactful, independent projects.Bonus: Contribution of a novel bioinformatics tool or algorithm is highly regarded as a signal of a top-tier candidate. Ideal Candidate ProfileThrives with high agency and high ownership, leading projects from idea to production. Exhibits strong leadership qualities, initiative, and a clear motivation to advance their career.Is curious about the intersection of biology, algorithms, and software engineering. Gets excited knowing their work directly accelerates the next generation of medicines and biotechnology. Values clear communication and loves helping others level up. Is energized by a tight-knit, fast-paced team environment. Visa RequirementsVisa sponsorship is generally not available.Able to accommodate TN or H-1B1 Skills: Algorithms, Biochemistry, Bioinformatics, Biology, Biotech and Pharmaceutical, Communication Skills, Computer Science, Cross-Functional, Docker, Genomics, Git, Leadership, Linux Operating System, Machine Tool, Medical Products, Mentoring, Microbial Ecology, Physics, Python Programming/Scripting Language, Quality Assurance, Scalable System Development, Software Engineering, Statistics, Team Player, User Interface/Experience (UI/UX) Vivo HealthStaff

Note: The job is a remote job and is open to candidates in USA. Gramian Consulting is seeking a Biology and Bioinformatics Research Specialist to support projects training and benchmarking next-generation AI systems. The role focuses on designing and evaluating biological data workflows, validating computational methods, and assessing AI-generated scientific outputs for accuracy and reproducibility. Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiativesReview genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibilityAssess and optimize pipeline parameters, software configurations, and statistical methodsAnalyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structuresValidate computational approaches and provide actionable recommendations to improve scientific reliabilityApply domain expertise to guide the development and evaluation of biology-focused AI models and toolsDocument methodologies, findings, limitations, and best practices to support reproducible research and knowledge transferCommunicate complex scientific concepts clearly to both technical and non-technical stakeholders Skills Professional English — C1 or higherCandidates should have deep expertise in at least one of the following areas:Genomics and next-generation sequencing (NGS) analysisTranscriptomics and single-cell analysisProteomics and structural biologyMolecular and cell biologySystems biology and biological network analysisDrug discovery and computational pharmacologyBiostatistics and machine learning applied to biologyPhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experienceProfessional written and spoken English proficiency at C1 level or higherDeep expertise in at least one relevant biological or computational research areaHands-on experience analyzing real biological datasetsProficiency in Python and/or R for scientific analysisExperience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specializationStrong statistical, quantitative, analytical, and scientific reasoning skillsExcellent written and verbal communication skills, including the ability to explain technical methods and document resultsDemonstrated ability to solve complex biological or computational problems rigorously Company Overview Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). It was founded in 2025, and is headquartered in London, England, GBR, with a workforce of 2-10 employees. Its website is https://gramianconsulting.com/.

Data Scientist (Bioinformatics), IS- 1560- 11Application Deadline: 12 October 2026 Department: Smithsonian Tropical Research Institute Employment Type: Full Time Location: Washington, DC Compensation: $85,447 - $91,145 / year DescriptionOPEN DATE: September 11, 2026 CLOSING DATE: October 12, 2026 POSITION TYPE: Trust FundAPPOINTMENT TYPE: Temporary for 2 years SCHEDULE: Full Time DUTY LOCATION: Washington, DC, National Museum of Natural History Position sensitivity and risk: Non-Sensitive - Low risk Who May Apply: Open to all qualified applicants What are Trust Fund Positions? Trust Fund positions are unique to the Smithsonian. They are paid for from a variety of sources, including the Smithsonian endowment, revenue from our business activities, donations, grants and contracts. Trust employees are not part of the civil service, nor does trust fund employment lead to Federal status. The salary ranges for trust positions are generally the same as for federal positions and in many cases trust and federal employees work side by side. Trust employees have their own benefit program, which may include Health, Dental & Vision Insurance, Life Insurance, Transit/Commuter Benefits, Accidental Death and Dismemberment Insurance, Annual and Sick Leave, Family Friendly Leave, 403b Retirement Plan, Discounts for Smithsonian Memberships, Museum Stores and Restaurants, Credit Union, Smithsonian Early Enrichment Center (Child Care), Flexible Spending Account (Health & Dependent Care). Conditions of Employment Pass Pre-employment Background Check and Subsequent Background Investigation for position designated. Complete a Probationary Period. Maintain a Bank Account for Direct Deposit/Electronic Transfer. The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply. Applicants must meet all qualification and eligibility requirements within 30 days of the closing date of this announcement. OVERVIEWThis position is located in Washington, DC, within the Forest Global Earth Observatory (ForestGEO), Smithsonian Tropical Research Institute (STRI), under the Office of the Under Secretary for Science and Research at the Smithsonian Institution (SI). STRI provides a global platform for research on tropical forests and marine ecosystems, biodiversity, and human well-being. The ForestGEO program is a global network of scientists and forest research sites dedicated to advancing the long-term study of the world's forests. The GEO-TREES initiative builds on this network to improve the accuracy and verification of global forest carbon estimates through collaboration among forest research sites worldwide. The Data Scientist supports the Forest Global Earth Observatory (ForestGEO) and GEO-TREES programs as a liaison between site-based data collection and the development of analytical data products. DUTIES AND RESPONSIBILITIESData Management, Scientific Analysis, and Software Programming (50%) Performs data-management, computational, and bioinformatics assignments supporting research in tropical biology, ecology, and forestry. Develops, implements, modifies, and maintains data-processing pipelines used to process plot-based tree inventory and related ecological data and to derive estimates such as forest woody biomass density. Evaluates the performance of existing data-processing pipelines and recommends modifications or improvements based on data characteristics, analytical requirements, user needs, and experience working with ForestGEO and GEO-TREES site teams. Develops and modifies computational procedures for analysis of ForestGEO and GEO-TREES scientific data using established data-science principles, methods, and practices. Processes, validates, organizes, and manages tree inventory, Global Navigation Satellite System (GNSS), Airborne Laser Scanning (ALS), and Terrestrial Laser Scanning (TLS) data for scientific analysis and long-term storage. Supports the archiving and long-term management of scientific datasets to ensure appropriate organization, documentation, accessibility, and usability. Develops and maintains data-management solutions and informatics workflows for data acquisition, formatting, validation, processing, analysis, use, and storage. Implements established data standards and contributes to the development and modification of data structures and architectures appropriate to assigned projects. Writes, tests, documents, troubleshoots, and maintains computer code used in data-processing and analytical workflows. Uses programming languages and tools such as R, Python, SQL, Git, GitHub, GIS applications, and related scientific and data-management software. Identifies data-quality problems, inconsistencies, missing values, formatting issues, and other anomalies and determines appropriate methods for correcting or documenting them. Works with researchers and other technical personnel to ensure that processed data and analyticalproducts meet established scientific and program requirements. Requirements Gathering and Technical Support (25%) Works closely with researchers and program personnel to identify data-processing, analytical, software, and data-management requirements for assigned scientific projects. Conducts technical analyses of available methods and alternatives and recommends appropriate software tools, workflows, calculations, and analytical approaches. Assists researchers in translating scientific requirements into practical data-processing and computational solutions. Evaluates existing workflows and recommends modifications when established approaches do not fully address the characteristics of the data or requirements of an assigned project. Coordinates with site representatives concerning timelines and technical requirements for acquisition and submission of plot inventory, TLS, ALS, GNSS, and related scientific data. Reviews submitted data to determine whether established ForestGEO and GEO-TREES formatting, documentation, and data-quality requirements have been met. Works with site personnel to resolve routine and moderately complex data-submission and data-quality problems. Coordinates with the Office of the Chief Information Officer (OCIO) and other appropriate technical staff to ensure assigned development activities follow applicable systems-development, documentation, version-control, security, and software-development practices. Prepares technical documentation describing data-processing workflows, code, data structures, analytical procedures, and related methods. Assists in testing new or modified software tools, workflows, and procedures prior to implementation. Training and Collaboration (25%) Develops and provides formal and informal training to researchers, site personnel, and program partners concerning ForestGEO and GEO-TREES data systems, data-management procedures, formatting requirements, data-processing workflows, and related tools. Serves as a technical point of contact for tree-inventory teams and other users at assigned ForestGEO and GEO-TREES sites. Provides advice, training, troubleshooting assistance, and technical support concerning data collection, formatting, cleaning, validation, processing, documentation, and submission. Explains data standards, analytical procedures, software requirements, and data-management practices to researchers and partners with varying levels of technical expertise. Collaborates with scientists, data managers, programmers, and other personnel to identify and resolve data-management and processing problems. Participates in meetings, working groups, and collaborative activities involving ForestGEO, GEO-TREES, Smithsonian staff, and domestic and international research partners. Shares information concerning lessons learned, recurring data problems, workflow improvements, and effective data-management practices with program staff and partners. Performs other duties as assigned. QUALIFICATION REQUIREMENTSEducation and Experience: Professional knowledge of and skill in applying a wide range of data-science principles, concepts, methods, and practices sufficient to perform difficult data-management, processing, computational, and analytical assignments involving ecological and forestry data. Knowledge of data acquisition, data cleaning, validation, transformation, integration, storage, analysis, visualization, documentation, and reproducible computational workflows. Knowledge of computational and data-management methods is required to develop, modify, implement, and maintain processing pipelines for tree inventory, GNSS, ALS, TLS, spatial, and related scientific datasets. Knowledge of programming concepts and skill in applying programming languages and analytical tools such as R, Python, SQL, Git, GitHub, and related software to manipulate, process, analyze, and manage scientific data. Knowledge of algorithm development, software testing, version control, debugging, documentation, deployment, and maintenance practices is required to support scientific applications and data-processing workflows. Knowledge of spatial-data concepts, common spatial-data formats, and GIS software is required to process and evaluate geospatial information associated with ForestGEO and GEO-TREES projects. Knowledge of the scientific concepts associated with ecology, tropical biology, forestry, or related environmental sciences sufficient to understand data characteristics, research requirements, analytical objectives, and the relationships among data variables. Knowledge to select and modify appropriate data-processing and analytical methods; identify and resolve data-quality problems; evaluate alternative computational approaches; interpret results; develop recommendations; and prepare technical documentation and analytical products. Skill adapting or modifying established data-science techniques and procedures to address differences in data structure, quality, collection methods, analytical requirements, or site-specific circumstances. Education completed outside the United States must be deemed equivalent to higher education programs of U.S. Institutions by an organization that specializes in the interpretation of foreign educational credentials. This documentation is the responsibility of the applicant and should be included as part of your application package.Any false statement in your application may result in rejection of your application and may also result in termination after employment begins.Join us in "Inspiring Generations through Knowledge and Discovery." Resumes should include a description of your paid and non-paid work experience that is related to this job; starting and ending dates of job (month and year); and average number of hours worked per week. What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager.Relocation expenses are not paid. The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact strisearch@si.edu. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures. The Smithsonian Institution is an Equal Opportunity Employer. To review The Smithsonian's EEO program information, please click the following: https://www.si.edu/oeo

Bioinformatics Scientist is a remote review track for evaluating AI outputs across research science reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it. Why this role matters Research science models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one. Responsibilities Review AI outputs against current research science methods, conventions, and prior work for Bioinformatics Scientist assignments. Reproduce or sanity-check key derivations, calculations, or experimental claims. Flag dimensional, methodological, and citation errors with structured severity tags. Capture the corrected reasoning or worked example so the modeling team can train on it. Adjudicate disputed answers against textbooks, papers, or community standards. Maintain reviewer-quality scores in inter-rater calibration cycles. Qualifications Graduate-level training or equivalent applied experience in research science or a closely related field for Bioinformatics Scientist work. Hands-on experience publishing, teaching, or advising on the topic at a professional level. Comfort applying multi-page rubrics consistently across long batches. Clear written reasoning that cites methods, papers, or worked examples. Reliable async availability for at least 10 hours per week. Example tasks Reproduce a research science derivation from a model output and flag any algebraic or dimensional errors. Grade a model's literature summary against the cited papers and rate the citation quality. Adjudicate a disputed answer between two reviewers using textbook methods. Audit a 25-row batch for rubric consistency and report drift to the program lead. Nice to have PhD, postdoc, or industry research experience in the topic area. Prior work reviewing AI-assisted research tooling and its failure modes. Multilingual fluency for non-English papers and corpora. Skills Scientific reasoning Method validation Citation review Quantitative analysis Research science Work model Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. Compensation Hourly rate confirmed after the interview process. Application process Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.