{"id":2145923,"url":"https://alion.io/job/bcc-staff-scientist","title":"Staff Scientist","company":{"id":23232,"name":"Black Canyon Consulting","domain":"bcc.ai","url":"https://alion.io/company/bcc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"HPC","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-03-30T18:29:27Z","employer_posted_date":"2026-03-30","last_verified_at":"2026-10-12T23:25:31Z","board_verified":true,"closed_at":null,"days_open":196,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":195},"description":"Overview\nBlack Canyon Consulting is seeking a Staff Scientist to work with a Principal Investigatory in the National Institutes of Health at the National Library of Medicine to support the development of high-fidelity artificial intelligence models designed to decode the functional landscape of the human and mouse genomes. This effort will leverage Telomere-to-Telomere (T2T) reference assemblies to advance understanding of gene regulation, particularly within complex and repetitive genomic regions.\nThis position requires a unique combination of computational genomics expertise, machine learning proficiency, and scalable software engineering capabilities to support large-scale data integration and model development.\nResponsibilities\nLead the design, development, and implementation of AI-driven models for gene regulation analysis\nArchitect and scale a TREDNet-based framework for cloud-native execution\nOptimize models for distributed, multi-GPU training environments\nIntegrate and analyze large-scale genomic and epigenomic datasets, including:\nENCODE / modENCODE\nNIH Roadmap Epigenomics\nUCSC Genome Database\nApply AI methodologies to functionally annotate repetitive genomic regions, including centromeres and telomeres\nDevelop and maintain scalable, containerized pipelines using Docker and/or Singularity\nImplement MLOps best practices, including experiment tracking, model versioning, and reproducibility\nDeploy and manage workflows in cloud environments (AWS, GCP, or Azure)\nCollaborate with interdisciplinary teams across computational and life sciences domains\nRequired Qualifications\nPhD in Computer Science, Computational Biology, Bioinformatics, or a related field\nMinimum of 5 years of experience developing and deploying machine learning or deep learning models\nStrong experience with cloud platforms (AWS, GCP, or Azure)\nProficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable)\nDeep understanding of neural network architectures (CNNs, transformers, sequence models)\nStrong programming skills in Python and experience working in Linux-based environments\nExperience with MLOps practices, including experiment tracking and model versioning\nExperience building and deploying containerized workflows (Docker and/or Singularity)\nExperience with distributed training across GPUs or multi-node environments\nStrong knowledge of genomics, gene regulation, and epigenomics\nExperience working with large-scale biological datasets (e.g., ENCODE, Roadmap Epigenomics, UCSC Genome Browser)\nFamiliarity with genomics data formats (FASTA, VCF, BAM/CRAM, BED)\nPreferred Qualifications\nExperience with Telomere-to-Telomere (T2T) genome assemblies\nExperience analyzing repetitive genomic regions (e.g., centromeres, telomeres)\nBackground in regulatory, functional, or comparative genomics (e.g., human vs. mouse)\nExperience with hyperparameter tuning and large-scale model optimization\nFamiliarity with genomic foundation models or sequence-based deep learning approaches\nExperience running ML workloads on GPU-enabled cloud or HPC environments\nFamiliarity with workflow orchestration tools (e.g., Nextflow, Snakemake, Airflow)\nExperience transitioning research models into production-grade pipelines\nFamiliarity with CI/CD and infrastructure-as-code tools (e.g., Terraform)\nExperience working in interdisciplinary teams\nDeliverables\nDevelop a containerized (Docker/Singularity) TREDNet pipeline capable of scaling across multiple GPU nodes in a cloud environment\nProduce a comprehensive functional map of the T2T reference genome, identifying regulatory motifs in previously unresolved regions\nDevelop comparative models between human and mouse cell lines to identify conserved regulatory mechanisms\nBenefits and Salary\nWe attract the best people in the business with our competitive benefits package, including medical, dental, and vision coverage; a 401(k) plan with employer contribution; paid holidays, vacation, and tuition reimbursement.\nWe offer a competitive salary commensurate with experience and location. The targeted range for this position is $110,000 - $140,000.\nIf you enjoy being part of a high-performing, professional, technology-focused organization, please apply today!","description_format":"text","description_chars":4237,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-09T04:23:11Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.326,"p_room":0.28,"age_days":195,"expected_fill_days":29,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/bcc-staff-scientist","json_url":"https://alion.io/job/bcc-staff-scientist.json","meta":{"generated_at":"2026-10-12T23:31:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":38635,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":23232},"rest":"https://alion.io/mcp/rest/get_company?id=23232"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbcc-staff-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbcc-staff-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbcc-staff-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bcc-staff-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbcc-staff-scientist"}]}