{"id":3289538,"url":"https://alion.io/job/mercor-computational-biologist-fully-remote-up-to-110hr","title":"Computational Biologist - Fully Remote | Up to $110/hr","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":15,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Biotech","role_family":"Biotech","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bioconductor","optional":false},{"name":"Biopython","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-10-15T08:21:28Z","employer_posted_date":null,"last_verified_at":"2026-10-15T08:21:28Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.\nPosition: BioInformatics Experts\nType:Contract\nCompensation:$90–$110/hour\nLocation:Remote\nRole Responsibilities\nComplete realistic, multi-step scientific data-analysis tasks in bioinformatics.\n\nWrite original bioinformatics questions with exact and objective answers.\n\nChoose and anonymize data from public archives like GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify, or your unpublished lab data for model analysis.\n\nUse scientific software, code, and command-line tools to generate reproducible analyses and structured outputs.\n\nDevelop a Jupyter validation notebook using Python or R to reproduce correct answers.\n\nInterpret results in the context of biological or translational questions, communicating assumptions, uncertainty, and conclusions clearly.\n\nQualifications\nMust-Have\n\nMaster's or PhD in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology, or a related field.\n\nHands-on experience analyzing sequencing and omics data, including RNA-seq, WGS/WES, variant calling, metagenomics, or proteomics.\n\nExperience with tools like samtools, bcftools, bedtools, BWA, Bowtie2, BLAST, Python (pandas, Biopython, pysam) or R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges).\n\nAbility to write and run Jupyter notebooks that reproduce work exactly.\n\nClear, precise scientific writing.\n\nPreferred\nAccess to unpublished or private datasets you can share.\n\nDeep knowledge of a niche area, such as a non-model organism, unusual assay, or specialized genomic interpretation.\n\nApplication Process (Takes 20–30 mins to complete)\nUpload resume\n\nAI interview based on your resume\n\nSubmit form\n\nResources & Support\nFor details about the interview process and platform information, please check: \n\nFor any help or support, reach out to: \n\nPS: Our team reviews applications daily. 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