Human Genetics and AI Expert Data Scientist

Davita Inc.; San Diego (CA); Hybrid; USD 93,000 - 193,000; Full time

Job summary

A leading company in healthcare is seeking a data scientist or computational biologist specialized in human genetics and machine learning to join their dynamic team. This role involves advanced analyses and modeling of biomedical datasets to contribute to impactful medical solutions. Candidates with a Ph.D. and relevant experience in deep learning and genetics are encouraged to apply for this exciting opportunity.

Benefits

Comprehensive benefits package

401(k) with company contribution

Generous time off package

Performance-based cash incentive

Qualifications

• Ph.D. with 0-3 years of experience or M.S. equivalent.
• Experience in human genetics using advanced statistical methods.
• Strong foundation in deep learning and machine learning evaluation techniques.

Responsibilities

• Analyze and integrate genetics and genomics data for complex diseases.
• Implement deep learning models for innovation in drug discovery.
• Collaborate with scientists to design and conduct preclinical experiments.

Skills

Biostatistics

Computer Programming

Data Analysis

Deep Learning

Machine Learning (ML)

Data Visualization

Education

Ph.D. or M.S. in Computational Biology or related field

Tools

Python (Programming Language)

R (Programming Language)

SQL (Structured Query Language)

Job description

Job Description Summary

We are looking for a data scientist or computational biologist with expertise in human genetics and machine learning. This role will be part of a team applying advanced deep learning methods to tackle medical challenges and improve patient outcomes. The candidate should be able to integrate, analyze, and interpret large biomedical datasets using various computational tools. We seek a motivated, creative, and collaborative individual.

Job Description

Internal Job Title: Expert I, Data Science/Expert II, Data Science

Position Location: Hybrid onsite, San Diego, CA #LI-Hybrid

About the Role:

We are looking for a data scientist or computational biologist with expertise in human genetics and machine learning. This role will be part of a team applying advanced deep learning methods to tackle medical challenges and improve patient outcomes. The candidate should be able to integrate, analyze, and interpret large biomedical datasets using various computational tools. We seek a motivated, creative, and collaborative individual.

Your responsibilities will include:

• Analyze, model, and integrate genetics and genomics data, including Genome-Wide Association Studies (GWAS), Quantitative Trait Loci (QTL), and single-cell ATAC-seq (scATAC-seq) to better understand complex diseases

• Implement and benchmark deep learning models to drive innovation in drug discovery with a focus on human genetics data

• Work with wet lab scientists to develop testable biological hypotheses and collaborate in designing rigorous preclinical experiments

• Collaborate with other data scientists and be a subject matter expert in machine learning portion of the project

What you'll bring to the role:

• Ph.D. with 0-3 years of experience (or M.S. with equivalence) in computational biology, population genetics, data science, statistics, computer science, or a related field

• Experience in human genetics research using mendelian randomization, fine-mapping, LDSC, and rare variant analysis is required

• Strong foundation in deep learning (DL) and machine learning (ML) based model evaluation techniques; familiarity with large language models (LLMs) or related NLP techniques or attention networks is encouraged

• Proficiency in python or similar programming languages with experience in ML or DL frameworks (e.g. PyTorch)

• Experience analyzing high-dimensional data sets, with a preference for experience in genetics and OMICs data (e.g. epigenetics, genomics, proteomics, or single cell transcriptomics)

• Proficient in written and spoken English

• Openness to learning new science and tolerance for diverse communication styles across discipline boundaries

The salary for this position is expected to range between:

• Expert I, Data Science: $93,800 and $174,200 per year

• Expert II, Data Science: $103,600 and $192,400 per year

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$93,800.00 - $174,200.00

Skills Desired

Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis