Job Summary:

Startup Inno is seeking a highly motivated and skilled Bioinformatics Data Scientist to join our cutting-edge genomic research team. The ideal candidate will have a strong foundation in computational biology, data analytics, and genomics, with a passion for turning complex biological data into actionable insights. This role focuses on analyzing large-scale genomic datasets, developing predictive models, and contributing to the discovery of novel biomarkers and therapeutic targets. The successful candidate will work in a collaborative, innovative, and fast-paced environment that bridges biology, computer science, and statistical modeling.

Key Responsibilities:

• Analyze and interpret high-throughput genomic, transcriptomic, and proteomic datasets.

• Develop computational pipelines and algorithms for processing large-scale biological data.

• Design and implement machine learning and statistical models for predictive genomics.

• Collaborate with cross-functional teams including biologists, clinicians, and software engineers to integrate multi-omics data.

• Conduct quality control, normalization, and visualization of complex datasets.

• Stay updated on the latest bioinformatics tools, algorithms, and technologies in genomics research.

• Prepare comprehensive reports, visualizations, and presentations for internal teams and external stakeholders.

• Contribute to scientific publications and patent filings based on research findings.

Required Skills and Qualifications:

• Masters or Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a related field.

• Strong programming skills in Python, R, or Perl; experience with shell scripting and version control (Git).

• Hands-on experience with genomic data analysis tools and frameworks (e.g., GATK, Bioconductor, Samtools, PLINK).

• Knowledge of statistical modeling, machine learning, and data visualization techniques.

• Familiarity with cloud computing platforms (AWS, Google Cloud, or Azure) and high-performance computing (HPC) environments.

• Excellent problem-solving abilities and analytical thinking.

• Strong communication skills for explaining complex bioinformatics concepts to interdisciplinary teams.

Experience:

• Minimum 2–5 years of experience in bioinformatics, computational biology, or genomics research.

• Demonstrated experience with next-generation sequencing (NGS) data analysis and multi-omics integration.

• Prior experience in a research or biotech startup environment is a plus.

Working Hours:

• Full-time, Monday to Friday.

• Flexibility in work schedule for collaborative projects or urgent research deadlines.

• Hybrid work options may be available depending on project requirements.

Knowledge, Skills, and Abilities:

• Strong statistical and analytical skills to interpret complex datasets.

• Ability to translate biological questions into computational workflows.

• Detail-oriented with a focus on data accuracy and reproducibility.

• Innovative mindset to develop new methods for genomic discovery.

• Collaborative team player with strong interpersonal skills.

Benefits:

• Competitive salary with performance-based incentives.

• Health insurance and wellness programs.

• Professional development opportunities, including conferences, workshops, and training.

• Flexible working arrangements and supportive startup culture.

• Opportunity to work on cutting-edge genomic research with real-world impact.

Why Join Startup Inno:

At Startup Inno, we are redefining the future of genomic research through innovation, collaboration, and scientific excellence. Joining our team means being part of a fast-growing startup where your contributions directly shape the development of life-changing therapies. You will work alongside leading experts in bioinformatics and genomics, access state-of-the-art technologies, and make a tangible impact in precision medicine.

How to Apply:

Interested candidates should submit the following to us:

1. Updated resume/CV

2. Cover letter detailing relevant experience and research interests

3. Portfolio of relevant projects or publications (if available)

Please use the subject line: Application – Bioinformatics Data Scientist. Only shortlisted candidates will be contacted for the next steps.