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Biological Big Data Platform For Drug Discovery

Senior Bioinformatics Scientist

₹12L – ₹18L
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About Elucidata:

Our mission is to make a data-driven understanding of the disease, the default starting point in the drug discovery process. Our products & services further the understanding of the ways in which diseased cells are different from healthy ones. This understanding helps scientists discover new drugs in a more effective manner and complements the move towards personalization.
Biological big data will outpace data generated by YouTube and Twitter by 10x in the next 7 yrs. Our platform Polly will enable scientists to process different kinds of biological data and generate insights from them to accelerate drug discovery. Polly is already being used at premier biopharma companies like Pfizer and Agios; and academic labs at Yale, MIT, Washington University.

We are looking for teammates who think out-of-the-box and are not satisfied with quick fixes or canned solutions to our industry’s most challenging problems. If you seek an intellectually stimulating environment where you can have a major impact on the critically important industry, we’d like to talk to you.

Your Role:

Elucidata is seeking a data science enthusiast for the role of Senior Bioinformatics Scientist. In this role, you will get the opportunity to lead and manage projects and multidisciplinary teams, apply your data science skills to solve complex biological problems, improve the understanding of biological systems and diseases and accelerate drug discovery using machine learning and AI.

Key Responsibilities:

- Lead and manage external client collaborations, internal-innovations projects, and multidisciplinary teams.
- Analyze multi-omics (metabolomic, genomic, proteomic, etc) and other kinds of biological data to derive relevant insights using state-of-the-art statistical methods.
- Innovate and implement new tools and pipelines, improve existing pipelines and algorithms for different types of biological data analysis and visualization.
- Develop clear, intuitive visualizations. Effectively communicate analysis results via presentations.
- Maintain documented records of analyses and code to facilitate reproducible research and convert repetitive analyses to pipelines.
- Perform integrative, pathway, and network analyses to understand disease mechanisms and discover insights.
- Apply state of the art Machine Learning algorithms to structured and unstructured data to derive biological insights.
- Identify valuable data sources and automate data collection.
- Monitor and evaluate new and emerging analytical technologies, and identify opportunities for collaboration
- Work in a multi-disciplinary team with biologists, engineers, product team and data scientists.


- Ph.D. [ with 0-2 years of relevant experience ], Masters [ with 3-5 years of relevant experience] or B.Tech [ with >5 years of relevant experience] or, in Computer Science, Statistics, Bioinformatics, Computational Biology or related technical discipline.
- Relevant experience in Data Science, Bioinformatics, Omics data analysis, Machine Learning or related field is preferred.
- Proficient in a programming language used for data analysis such as Python or R.
- Previous experience and understanding of biological data, experimental design, data mining, and curation is preferred.
- Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
- Deep understanding of basic statistical concepts and principles, such as regression and hypothesis testing.
- Extensive experience in data mining, cleansing, data visualization, and machine learning.
- Experience working within a cloud computing environment (AWS, GCP) is preferable.
- Demonstrated success in collaboration, and independent work.
- Think independently and also contribute to an active intellectual environment.
- Excellent communication and presentation skills.

We are proud to be an equal opportunity employer committed to providing equal employment opportunities regardless of race, color, religion, sex, national origin, gender identity, sexual orientation, age, marital status, or disability.

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