Computational Biologist - REMOTE

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 open-source Apache products such as Airflow, Nifi

Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets

Develop analysis workflows for high-throughput 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 wet-lab 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 cross-functional teams in a dynamic environment

Experience working with high-throughput 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 cloud-based 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 high-impact journals is preferred

If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fast-paced, innovative environment, we would love to hear from you.

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

https://lifelancer.com/jobs/view/bd022fc772a8133f7c223455eb89c62a