Hello,

Greetings from ZettaMine!!!

We are hiring Bioinformatics / Computational Genomics Experts for a short-term AI Training & Evaluation project across: India

Role: Bioinformatics / Computational Genomics Expert

Experience: Ph.D., Postdoctoral Experience, or Equivalent Advanced Research Experience

Mode: Remote

Engagement: Contractor / Short-Term Contract

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

- Strong programming skills in Python and relevant scientific computing or bioinformatics libraries.
- Experience working in Linux or terminal-based environments.
- Solid knowledge of bioinformatics, computational genomics, computational biology, genomics, and computational genetics workflows.
- Experience analyzing biological sequence, genomic, transcriptomic, variant, or other computational biology datasets.
- Ability to independently implement, test, debug, and validate computational bioinformatics workflows.
- Strong understanding of biological data quality, analytical assumptions, artifacts, numerical accuracy, scientific validation, and reproducibility.
- Ability to develop rigorous scientific tasks with clearly defined inputs, expected outputs, ground truths, and evaluation criteria.
- Experience working with FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, sequence annotations, expression data, and germline or somatic variant data.
- Ability to develop and validate computational workflows involving variant analysis, transcriptomics, sequence analysis, phylogenetics, population genetics, functional genomics, and clinical genomics.
- Ability to develop multi-step analyses using Python, command-line tools, and established bioinformatics libraries.
- Ability to identify artifacts, handle ambiguous or messy biological data, and select appropriate analytical approaches.
- Ability to validate scientific outputs for biological consistency, computational accuracy, and reproducibility.

Educational Qualification:

Mandatory: Ph.D., postdoctoral experience, or equivalent advanced research experience in Bioinformatics, Computational Biology, Genomics, Computational Genomics, Computational Genetics, or another closely related discipline.





Preferred: Advanced research or professional experience in Computational Genomics, Bioinformatics, Sequence Analysis, Variant Analysis, Transcriptomics, Phylogenetics, Population Genetics, Functional Genomics, Clinical Genomics, or related fields.

Availability:

- Full-Time – 40 Hours per Week.
- Minimum 4 hours of PST overlap per day.
- Ability to work remotely on a short-term AI training and evaluation project.
- Immediate availability preferred.
- Ability to collaborate with project reviewers and incorporate feedback.
- Availability according to project requirements and deadlines.

Others:

- Personal laptop/desktop and stable high-speed internet.
- Strong written and verbal communication skills.
- Strong hands-on experience with Python and scientific computing.
- Experience working with bioinformatics and terminal-based computational environments.
- Familiarity with bioinformatics libraries and tools such as Biopython, pandas, NumPy, SciPy, samtools, bcftools, BLAST, PLINK, or equivalent tools.
- Experience developing reproducible scientific and bioinformatics pipelines.
- Strong understanding of the experimental and biological context behind computational analyses.
- Experience with Docker/containerized scientific workflows is preferred.
- Experience with AI agents, coding agents, or AI/LLM evaluation systems is advantageous.
- Experience designing benchmark datasets, automated graders, scientific benchmarks, or AI evaluation datasets is preferred.
- Publications involving computational genomics or bioinformatics are advantageous.
- Strong attention to scientific accuracy, documentation, biological validity, and reproducibility.

What You’ll Work On:

- Design authentic,



multi-step Bioinformatics and Computational Genomics tasks based on realistic scientific and computational workflows.
- Design novel, model-challenging computational genomics and bioinformatics tasks for GeneBench Pro.
- Translate authentic genomics and bioinformatics workflows into self-contained scientific analysis environments.
- Prepare realistic scientific datasets such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, sequence annotations, expression data, and germline or somatic variant data.
- Implement expert solutions using Python, command-line tools, scientific computing libraries, and relevant bioinformatics tools.
- Create tasks involving variant analysis, transcriptomics, sequence analysis, phylogenetics, population genetics, functional genomics, and clinical genomics.
- Develop tasks that test higher-order scientific judgment, including handling ambiguous or messy biological data and identifying artifacts.
- Select appropriate analytical approaches and revise assumptions based on intermediate scientific results.
- Develop expert reference solutions and reproducible computational workflows that execute within the provided Python-based environment.
- Create clear task specifications, input datasets, expected output schemas, and deterministic or objectively verifiable ground truths.
- Develop robust automated grading criteria that distinguish scientifically correct solutions from superficially plausible outputs.
- Validate that tasks are scientifically correct, solvable using the supplied information, reproducible, and sufficiently challenging for frontier AI models.
- Ensure all computational workflows and deliverables are well documented, reproducible, and client-ready.
- Develop benchmark tasks that evaluate whether AI agents can reason through bioinformatics and genomics problems, interpret biological datasets, write and execute code, operate command-line and genomics tools, troubleshoot computational workflows, and produce accurate and objectively verifiable scientific outputs.

Interested candidates kindly share your updated CV and Google Scholar profile/link to [email protected]

Thanks & Regards,

Praneeth.N

ZettaMine

📌 CUGM] Bioinformatics / Computational Genomics Experts (India)
🏢 ZettaMine Labs
📍 India