Statistical Geneticist Remote Jobs (NOW HIRING)

Remote | Computational Biologist (Genetics, Biochemistry & Ecology) — Up to $60/hourRemote | Computational Biologist (Genetics, Biochemistry & Ecology) — Up to $60/hourAbout the JobWe are sharing a specialised part-time consulting opportunity for PhD-level biologists with strong scientific computing expertise across genetics, biochemistry, ecology, and computational research.

This role focuses on designing original, executable research problems grounded in authentic biological workflows. Selected experts will develop challenging coding-based tasks, create rigorous reference solutions and grading criteria, and test and refine problems until they require genuine research-level biological and computational reasoning.

Key ResponsibilitiesComputational Biology Problem DesignDevelop original research-level computational biology problemsBuild tasks from published papers, public datasets, open-source repositories, or independently designed scientific scenariosCreate problems requiring multi-step biological, statistical, and computational reasoningEnsure tasks reflect realistic research workflows rather than standard textbook exercisesDesign problems with scientifically defensible and reproducible solutionsGenetics & Genomic AnalysisDevelop computational tasks involving genetics and related biological datasetsCreate problems requiring interpretation of inheritance, variation, population, or molecular genetic informationIncorporate realistic biological assumptions, experimental constraints, and data limitationsDesign tasks requiring quantitative and computational investigationApply advanced genetics expertise to task validation and difficulty calibrationBiochemistry & Molecular BiologyCreate problems involving biochemical pathways, molecular interactions, kinetics, or related quantitative biologyDevelop workflows requiring analysis of experimental or simulated biochemical dataEvaluate assumptions, parameters, and biological interpretationIncorporate realistic experimental limitations and edge casesEnsure problems require substantive biochemical reasoning rather than surface-level recallEcology & Quantitative BiologyDevelop computational tasks involving ecological systems, populations, communities, or environmental datasetsDesign problems requiring statistical modelling, simulation, or interpretation of complex biological relationshipsEvaluate assumptions involving sampling, variability, environmental effects, and biological interactionsCreate scenarios that require careful interpretation of noisy or incomplete dataApply quantitative reasoning to realistic ecological research questionsScientific Computing & ProgrammingWrite and validate scientific workflows using Python, R, or another relevant programming languageDevelop computational setups, reference calculations, and solution validatorsDebug scientific code and identify implementation or numerical issuesBuild reproducible workflows suitable for automated testingEnsure computational outputs accurately reflect the underlying biological problemResearch Task DevelopmentSource appropriate scientific material from research papers, datasets, repositories, or original scenariosTranslate complex biological research into clearly specified computational tasksDefine inputs, assumptions, constraints, and expected outputsCreate assignments requiring both biology expertise and coding proficiencyEnsure task difficulty comes from scientific reasoning rather than unnecessary complexityReference Solutions & Grading CriteriaProduce authoritative reference solutions and supporting computational analysesDefine clear criteria describing what constitutes a correct solutionIdentify essential biological reasoning, computational steps, and expected outputsDevelop grading logic capable of distinguishing correct solutions from plausible but flawed approachesEnsure evaluation criteria are precise, consistent, and reproducibleTesting & Difficulty CalibrationTest tasks against advanced computational systemsAnalyse scientific, computational, and reasoning failure modesRefine prompts, inputs, constraints, and expected outputs based on testingAdjust task difficulty while preserving scientific validityFinalise tasks only when they reliably require advanced biological and computational expertiseResearch Engineering WorkflowWork through a Git/GitHub pull-request workflowRun and validate code within Docker-based environmentsRespond to automated quality checks and reviewer feedbackMaintain clean, reproducible code and supporting documentationCollaborate effectively within structured scientific software workflowsIdeal ProfilePhD required in Biology, Biological Sciences, Biochemistry, Genetics, Ecology, or a closely related fieldDemonstrated expertise in at least two of the following: GeneticsBiochemistryEcologyStrong working proficiency in Python, R, or another scientific programming languageHands-on experience using code for biological research, modelling, simulation, or data analysisComfortable with Git/GitHubExperience running code in Docker or other containerised environmentsStrong understanding of reproducible scientific computingAbility to translate advanced biological research into clearly defined computational problemsPeer-reviewed publications are highly valuedPrior scientific software or research engineering experience is advantageousStrong written communication and ability to document biological assumptions, methods, and solutions preciselyEngagement DetailsPart-time independent contractor engagementFully remote20+ hours per weekInitial duration of approximately 6 weeksImmediate startCompensation: Up to $60/hourWork includes computational biology problem design, scientific coding, reference-solution development, grading criteria, testing, and task refinementProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementAbout the PlatformThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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