Senior Scientist, Data Science AI/ML for Biology (JRD DS) at Johnson & Johnson in Titusville, NJ
Key
Responsibilities:
Conceive, develop, and validate sophisticated AI/ML solutions to high-priority biology problems in drug discovery and development Participate in cross-functional collaborations with internal scientific and data science teams and external companies Participate and shape internal and external collaborations, help define the scope of research questions Extract insights at scale from complex, high-dimensional, high-throughput multiomics data to improve drug discovery and development (e.g., target/disease identification and quantification, mechanistic insights, patient characterization and stratification, etc.) Clearly articulate innovative methods (e.g. based on deep learning) and results to diverse audiences and partners to drive decision-making Contribute to a culture of excellence and high standards, continuous learning and growth, collaboration, and respect
Qualifications Education:
A PhD degree in AI/ML, computational biology, or related, with 2
years of working experience (industry or postdoc in related fields) Experience and Skills:
Required:
Strong experience in developing, optimizing, and validating AI (deep learning) models on -omics data (e.g. DNAseq, RNAseq, scRNAseq, etc.) Proven track records of publications in top-tier journals and conferences, patents, awards, etc. Fluent in Python, R, or related software environments and AI packages like pytorch, tensorflow, scikit-learn, etc. Experience with computational infrastructures like git, AWS, Docker, etc. Expertise in one or more therapeutic areas including oncology, immunology, neuroscience or cardiovascular Can-do attitude and ability to work in a diverse, multi-disciplinary team, on fast-paced, high impact projects Can work independently with minimal supervision Excellent interpersonal, organizational and communication skills Passionate about leveraging data to drive scientific innovation and continuously learn new AI techniques in the domain Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer. Preferred:
Experience with high-throughput data generation pipeline, from sequencing platform to data analysis environment is a plus Additional expertise in computational chemistry is a plus Experience with working in collaboration with a pharmaceutical company Experience working closely with healthcare professionals Ability to effectively communicate technical work to a wide audience Other:
Up to 10% travel to conferences and key internal meetings primarily.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Conceive, develop, and validate sophisticated AI/ML solutions to high-priority biology problems in drug discovery and development Participate in cross-functional collaborations with internal scientific and data science teams and external companies Participate and shape internal and external collaborations, help define the scope of research questions Extract insights at scale from complex, high-dimensional, high-throughput multiomics data to improve drug discovery and development (e.g., target/disease identification and quantification, mechanistic insights, patient characterization and stratification, etc.) Clearly articulate innovative methods (e.g. based on deep learning) and results to diverse audiences and partners to drive decision-making Contribute to a culture of excellence and high standards, continuous learning and growth, collaboration, and respect
Qualifications Education:
A PhD degree in AI/ML, computational biology, or related, with 2
years of working experience (industry or postdoc in related fields) Experience and Skills:
Required:
Strong experience in developing, optimizing, and validating AI (deep learning) models on -omics data (e.g. DNAseq, RNAseq, scRNAseq, etc.) Proven track records of publications in top-tier journals and conferences, patents, awards, etc. Fluent in Python, R, or related software environments and AI packages like pytorch, tensorflow, scikit-learn, etc. Experience with computational infrastructures like git, AWS, Docker, etc. Expertise in one or more therapeutic areas including oncology, immunology, neuroscience or cardiovascular Can-do attitude and ability to work in a diverse, multi-disciplinary team, on fast-paced, high impact projects Can work independently with minimal supervision Excellent interpersonal, organizational and communication skills Passionate about leveraging data to drive scientific innovation and continuously learn new AI techniques in the domain Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer. Preferred:
Experience with high-throughput data generation pipeline, from sequencing platform to data analysis environment is a plus Additional expertise in computational chemistry is a plus Experience with working in collaboration with a pharmaceutical company Experience working closely with healthcare professionals Ability to effectively communicate technical work to a wide audience Other:
Up to 10% travel to conferences and key internal meetings primarily.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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