ZipRecruiter

Log In

1

Phenomics Data Jobs (NOW HIRING)

Voluble Systems LLC

Data Scientist II

Chicago, IL · On-site

Individual role within a collaborative teamOther notable details about the environment from the hiring manager about this role?- advance the state-of-art Phenomics Data Science initiatives using ...

Syngenta

Phenomics Innovation Product Owner

Durham, NC · On-site

... data pipelines • Build external ecosystem through technology scouting, collaborative research, and intellectual property strategy Qualifications : Required : • Advanced degree (Master's or PhD ...

Vivodyne

AI Senior Scientist

San Francisco, CA · Hybrid

... phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for ... Data Pipeline Optimization - Build and deploy pipelines capable of scaling to petabyte-scale data ...

Vivodyne

AI Senior Scientist

San Francisco, CA · On-site

Vivodyne creates human data before clinical trials. We accelerate the successful discovery, design ... phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for ...

next page

Showing results 1-20

People also search for

All JobsPhenomics Data Jobs

Phenomics Data information

See salary details

$46K

$165K

$243.5K

How much do phenomics data jobs pay per year?

As of Jun 4, 2026, the average yearly pay for phenomics data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Phenomics Data role, and why are they important?

To thrive in a Phenomics Data role, you need a strong background in biology, data analysis, and statistics, often supported by a degree in life sciences, bioinformatics, or a related field. Familiarity with data processing tools such as Python, R, and specialized phenomics software, as well as experience with large-scale data management systems, is typical. Strong attention to detail, problem-solving skills, and effective communication are important soft skills that help you interpret complex data and collaborate with cross-disciplinary teams. These skills and qualities are crucial for extracting meaningful biological insights and advancing research through the accurate analysis of high-dimensional phenotypic data.

What are some common challenges faced by professionals working in phenomics data roles, and how can they be addressed?

Professionals in phenomics data roles often encounter challenges such as managing large and complex datasets, ensuring data quality and consistency, and integrating phenotypic information from diverse sources. Addressing these challenges requires strong data management skills, familiarity with bioinformatics tools, and effective collaboration with interdisciplinary teams such as geneticists, statisticians, and IT specialists. Staying updated on best practices for data curation and leveraging automation can also help streamline workflows and improve data reliability.

What is phenomics data?

Phenomics data refers to the large-scale collection and analysis of phenotypes—observable traits or characteristics—of organisms, often using advanced technologies and high-throughput methods. This data is used to understand how genetic and environmental factors influence traits such as growth, yield, and disease resistance. Phenomics data is vital in fields like agriculture, plant and animal breeding, and biomedical research to accelerate discovery and improve outcomes. Managing, analyzing, and interpreting phenomics data requires expertise in biology, data science, and bioinformatics.

What is the difference between Phenomics Data vs Data Analyst?

AspectPhenomics DataData Analyst
Required credentialsBackground in biology, genetics, or bioinformatics; often requires a master's or PhDDegree in statistics, mathematics, or related field; often requires a bachelor's or master's
Work environmentResearch labs, biotech companies, academic institutionsBusiness, finance, healthcare, or tech companies
Industry usageBiotechnology, agriculture, pharmaceuticalsFinance, marketing, healthcare, technology

While both roles involve data analysis, Phenomics Data specialists focus on biological and genetic datasets related to phenotypes, often requiring specialized scientific knowledge. Data Analysts have a broader scope across industries, analyzing various types of data to inform business decisions. The key difference lies in the domain expertise and the nature of the datasets handled.

Infographic showing various Phenomics Data job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist II

Voluble Systems LLC

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Description: We are seeking a data scientist to apply advanced analytics and AI methods on EHR phenotyping data from clinicogenomic data sources such as UK Biobank (UKBB) and Alliance for Genomic Discovery (AGD) datasets, driving discovery through large-scale biobank analyses. The candidate will extract patient cohorts from the EHR data in order for Genome-wide Association Studies (GWAS) and related applications to extract actionable insights from AbbVie's rich biobank data resources.Responsibilities: UKBB, AGD data and other RWDRequired Skill 1: Data curation and mining using Linux command lineRequired Skill 2: Advanced analyticsRequired Skill 3: Advanced programming skills with writing reusable scripts (R, Python, Spark or SQL)Required Skill 4: Learn existing automated EHR-phenotyping using large longitudinal UK Biobank and AGD dataRequired Skill 5: strong communication and teamworkWhat years of experience, education, and/or certification is required? 2-3 (PhD), or 5 years (MSc)What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification? Biostatistics, Genetics, experience with latest AI methodologiesWhat is the environment that this person will be working in (i.e. group setting vs individual role)? Individual role within a collaborative teamOther notable details about the environment from the hiring manager about this role?- advance the state-of-art Phenomics Data Science initiatives using large-scale real-world dataWhat positions/background experience do you feel are successful in this role.- experienced data scientist/data engineers with interest in driving new mathematical solutions and innovation in line with business strategy and rapidly changing data streams

Apply