Job
Description
About Strand Life Sciences: Strand is a 24-year-old spin-off from the Indian Institute of Science. We are a cutting-edge Genomics company with a global customer base. We build applications that use DNA sequencing to improve human health. In the process, we build algorithms, data pipelines, and visualizations to handle large amounts of sequence data. We are committed to transforming complex data into actionable insights, contributing to groundbreaking research and innovative solutions in the field of genomics. We anticipate that in the next few years, hundreds of millions of individuals will have their DNA sequenced, and invite you to join us in this transformative journey. About the Position: We are seeking a dynamic and experienced professional with a hybrid background in engineering and biology to join our interdisciplinary team. The ideal candidate will bring 6-8 years of hands-on experience in biotechnology and apply their expertise to solve complex problems in bioinformatics, genomics, or computational biology. This is a cross-functional role involving collaboration with wet lab scientists, data engineers, and domain experts to drive research, innovation, and product development. Key Responsibilities: ● Design and implement data analysis pipelines for genomics, transcriptomics, or proteomics. ● Lead projects involving algorithm development, statistical modeling, or ML/AI applications in biology. ● Collaborate with biology and engineering teams to interpret results and guide experimental design. ● Curate and analyze public and proprietary biological datasets. ● Prepare scientific documentation, technical reports, and research publications. ● Mentor junior team members and contribute to strategic technology planning. Required Skills: ● Strong programming skills (Python, R, or equivalent). ● Experience with NGS data analysis, omics workflows, or bioinformatics tools. ● Solid understanding of molecular biology, genomics, and biotechnology principles. ● Familiarity with computational methods, statistics, and database management. ● Proven experience working in cross-functional research or biotech environments. Preferred Qualifications: ● B.Tech / M.Tech / M.Sc / Ph.D. in Computer Science, Electrical Engineering, Biotechnology, Bioinformatics, Physics or a related discipline with a strong foundation in Biology ● Experience with cloud-based computation (AWS, GCP, or Azure). ● Familiarity with tools like GATK, STAR, DESeq2, or scRNA-seq pipelines. ● Previous leadership in cross-disciplinary projects or biotech product development. We offer: ● An innovative and open culture in a truly multicultural environment ● An opportunity to make a fundamental impact on human health ● Vibrant multidisciplinary scientific interaction and learning opportunity ● A collaborative and solution-oriented environment where you can make a difference ● A competitive salary and generous benefits Show more Show less
