Computational Biologist - Mumbai, India - Lifelancer

    Lifelancer
    Lifelancer Mumbai, India

    Found in: Talent IN C2 - 1 week ago

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    About thejob

    JobDescription

    We are seeking aComputational Biologist with extensive experience in AI and MachineLearning and a background in biotech. The successful candidate willwork with our data scientists and bioinformatics teams to designand implement ETL pipelines and computational frameworks integrateand analyze genomic and transcriptomic datasets and assist in theinterpretation of gene expressiondata.

    KeyResponsibilities

    Run biotech RDpipelines as a data scientist or data engineer

    Build ETL / ELT pipelines

    Work with opensourceApache products such as Airflow Nifi

    Establishcomputational frameworks for integrating accessing and analyzinggenomic and transcriptomic datasets

    Developanalysis workflows for highthroughput DNA and RNA sequencingdata

    Integrate new pipelines with othercomponents of tech stack

    Assist in the analysisand interpretation of gene expression data

    Workwith scientists to leverage Bioinformatics datasets and assist inefforts of target assessment

    Collaborate withwetlab scientists data scientists and bioinformaticians to designexperiments analyze data and interpret theresults

    Recommend cleansing and transformationrules required to make the datasets ready forAI/ML

    Experience in data governancemodeling

    Experience working with HTS Omicssequencing data (Eg: RNAseq scRNAseq ISLANDWES)

    Required Qualifications AndExperience

    Currently pursuing PhDor MSc in Bioinformatics Computational Biology or a relatedfield

    Demonstrated expertise in R Python andbuilding complex code in a collaborativeenvironment

    Experience supporting and workingwith crossfunctional teams in a dynamicenvironment

    Experience working withhighthroughput sequencing data (RNAseq scRNAseqWES)

    Proficiency in biological databasemanagement and the use of bioinformatics tools andsoftware

    Extensive knowledge in applying machinelearning and statistical modeling to biologicaldatasets

    Proficiency in processing and analyzinghigh dimensional biological data

    Familiaritywith public biological data sources andrepositories

    Experience with biological datastandards ontologies and metadata

    Familiaritywith cloudbased data storage and analysis solutions ispreferred

    Strong analytical skills related toworking with large diverse datasets

    Ademonstrated ability to find creative and functional solutions tocomplicated problems

    Excellent documentationskills with impeccable attention to detail

    Exceptional communication skills and the ability to express complexideas in understandable ways

    Strong criticalthinking skills and the ability to handle ambiguity in dataanalysis

    Proven track record of publishingrelevant work in highimpact journals ispreferred

    If you are passionate aboutcontributing to groundbreaking work in the life sciences and enjoyworking in a fastpaced innovative environment we would love to hearfrom you.

    Please use the below link for jobapplication and quickerresponse.

    RemoteWork :

    No