About the job

Job Description

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.

Key Responsibilities

Run biotech RD 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 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)

Required Qualifications And Experience

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.

Please use the below link for job application and quicker response.

Remote Work :

Computational Biologist - REMOTE