Computational Biologist
Computational Biologist
Posted on :
27-01-2025
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1 Vacancy
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Job Description
Job Title: Computational Biologist (AI/ML Bio background)
Job Location: India
Job Location Type: Remote
Job Contract Type: Internship
Job Seniority Level: Internship
About Scispot
- We are seeking a Computational Biologist with extensive experience in AI and Machine Learning and a background in biotech. The successful candidate will work with our data scientists and bioinformatics teams to design and implement ETL pipelines and computational frameworks integrate and analyze genomic and transcriptomic datasets and assist in the interpretation of gene expression data.
- Run biotech R&D pipelines as a data scientist or data engineer
- Build ETL / ELT pipelines
- Work with opensource Apache products such as Airflow Nifi
- Establish computational frameworks for integrating accessing and analyzing genomic and transcriptomic datasets
- Develop analysis workflows for highthroughput DNA and RNA sequencing data
- Integrate new pipelines with other components of Scispot’s tech stack
- Assist in the analysis and interpretation of gene expression data
- Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment
- Collaborate with wetlab scientists data scientists and bioinformaticians to design experiments analyze data and interpret the results
- Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
- Experience in data governance modeling
- Experience working with HTS Omics sequencing data (Eg: RNAseq scRNAseq ISLAND WES)
- Currently pursuing PhD or MSc in Bioinformatics Computational Biology or a related field
- Demonstrated expertise in R Python and building complex code in a collaborative environment
- Experience supporting and working with crossfunctional teams in a dynamic environment
- Experience working with highthroughput sequencing data (RNAseq scRNAseq WES)
- Proficiency in biological database management and the use of bioinformatics tools and software
- Extensive knowledge in applying machine learning and statistical modeling to biological datasets
- Proficiency in processing and analyzing high dimensional biological data
- Familiarity with public biological data sources and repositories
- Experience with biological data standards ontologies and metadata
- Familiarity with cloudbased data storage and analysis solutions is preferred
- Strong analytical skills related to working with large diverse datasets
- A demonstrated ability to find creative and functional solutions to complicated problems
- Excellent documentation skills with impeccable attention to detail
- Exceptional communication skills and the ability to express complex ideas in understandable ways
- Strong critical thinking skills and the ability to handle ambiguity in data analysis
- Proven track record of publishing relevant work in highimpact journals is preferred
- If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fastpaced innovative environment we would love to hear from you.
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Employment Type
Full Time
Key Skills
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