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Biological Big Data Platform For Drug Discovery

Data Scientist (Biology)

₹7L – ₹12L
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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.

Think you have seen big-data problems?

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, UCLA, and UPenn.

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 Data Scientist. In this role, you will get the opportunity to apply your data science skills to solve complex biological problems, improve the understanding of biological systems and diseases and accelerate drug discovery.

Key Responsibilities:

- Analyze metabolomic, genomic, proteomic and other kinds of biological data to derive relevant insights using state-of-the-art statistical methods.
- Implement new tools and pipelines and improve existing pipelines and algorithms for different types of biological data analysis and visualization.
- Develop clear, intuitive visualizations. 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 important drug targets.
- 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 teams, and data scientists.

Requirements:

- B. Tech [>2 years of relevant experience] or Masters [0-2 years of relevant experience], 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.

Meet your team

People you would work with in this role

Shashank Jatav

Avatar for Shashank Jatav
Responsible for data science projects in diverse omics (genomics, proteomics, microbiome etc.) for multiple healthcare and pharmaceutical companies

Soumya Luthra

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Project Manager at Elucidata. Masters in Computational Biology Carnegie Mellon University. Over 6 years of experience in Bioinformatics and Cancer research.

Shefali Lathwal

Avatar for Shefali Lathwal
Leading metabolism research at Elucidata. Ph.D. Chemical Engineering, MIT. An alumni of MIT Chemical Engineering Practice School. B.Tech. IIT Delhi.

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