Job Summary
Startup Inno is seeking a highly analytical and innovative Bioinformatics Data Scientist to join our Genomic Research team. In this role, you will leverage advanced computational methods, statistical modeling, and machine learning techniques to analyze large-scale genomic and multi-omics datasets. You will collaborate closely with cross-functional teams including molecular biologists, data engineers, and clinical researchers to generate actionable biological insights that drive research breakthroughs and product innovation. This is an exciting opportunity for a data-driven scientist passionate about translating complex biological data into meaningful discoveries.
Key Responsibilities
Design, develop, and maintain scalable bioinformatics pipelines for genomic and multi-omics data analysis.
Apply statistical modeling, machine learning, and deep learning techniques to extract biological insights from large datasets.
Perform quality control, preprocessing, and integration of sequencing data (e.g., WGS, RNA‑seq, single‑cell).
Collaborate with research scientists to interpret results and support experimental design.
Develop and optimize algorithms for variant calling, gene expression analysis, and functional annotation.
Create clear visualizations, dashboards, and technical reports for both technical and non‑technical stakeholders.
Contribute to the development of internal data platforms and reproducible research workflows.
Stay current with advances in bioinformatics, genomics, and AI‑driven biological analysis.
Support publication efforts, grant proposals, and intellectual property development as needed.
Required Skills and Qualifications
Masters or PhD in Bioinformatics, Computational Biology, Data Science, Genomics, or a related quantitative field.
Strong programming skills in Python and/or R.
Experience working with high-throughput sequencing data and genomic analysis tools.
Solid understanding of statistics, machine learning, and data mining techniques.
Proficiency with Linux/Unix environments and cloud computing platforms.
Experience with workflow management tools (e.g., Nextflow, Snakemake) is preferred.
Strong data visualization and communication skills.
Ability to work effectively in cross‑functional, collaborative environments.
Experience
3–6 years of hands‑on experience in bioinformatics, computational genomics, or related roles.
Demonstrated experience analyzing large-scale genomic or multi‑omics datasets.
Prior experience in biotech, healthcare, pharma, or research institutions is highly desirable.
Publication record or contributions to open-source bioinformatics projects is a plus.
Working Hours
Full‑time position.
Flexible work schedule with core collaboration hours.
Hybrid or remote work options available based on project needs and location.
Knowledge, Skills, and Abilities
Deep understanding of genomics, molecular biology, and sequencing technologies.
Strong analytical thinking and problem‑solving capabilities.
Ability to manage multiple projects and meet deadlines in a fast‑paced environment.
Excellent written and verbal communication skills.
High attention to detail and commitment to data quality and reproducibility.
Self‑motivated with a strong curiosity for scientific discovery.
Ability to translate complex biological questions into computational solutions.
Benefits
Competitive salary and performance‑based incentives.
Comprehensive health and wellness benefits.
Flexible work arrangements (remote/hybrid options).
Professional development and conference support.
Access to cutting‑edge genomic datasets and computing infrastructure.
Collaborative and innovation‑driven work environment.
Generous paid time off and holidays.
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