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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Cambridge, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,100.0 - $211,900.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, JIRA, Big Data, Bioinformatics, Cloud Computing, Computational Biology, Computer Programming, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Structures, Data Visualization, Data Warehousing, Relational Databases, Decision Support Systems, Document-Oriented Databases, R (Programming Language), Apache Hadoop, Python (Programming Language), MATLAB, Machine Learning, Mathcad, Metadata, Scrum Methodology, Power BI, Salesforce.Com, Simulink, SQL Databases, SQL Server Analysis Services, Computational Statistics, Systems Integration, Tableau (Software), Workflow Management Systems, Data Storage Technologies, Data Strategy, Information Technology, Data Management, Tools for Reporting, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** June 12, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/all/all/2879ec97-97df-4352-8a0a-5c0d4366c35a

## About the Role

Innovation
Statistics
Proteomics
Data Types
Scalability
Data Quality
Data Science
Communication
Drug Discovery
Bioinformatics
Self-Motivation
Computer Science
Data Integration
Machine Learning
Data Engineering
Medical Research
Digital Pathology
Team Effectiveness
Workflow Management
Statistical Modeling
Emerging Technologies
Computational Biology
Artificial Intelligence
R (Programming Language)
Ribonucleic Acid Sequencing
Continuous Improvement Process, * PhD (or equivalent experience) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative discipline

 * Demonstrated expertise in the analysis of complex omics datasets and at least one of the following: spatial transcriptomics, proteomics, or digital pathology
 * Strong programming skills in R and/or Python
 * Experience working with high-performance computing (HPC) environments and workflow management systems
 * Deep understanding of statistical modeling, machine learning, and data integration methodologies
 * Familiarity with AI-assisted coding tools and modern data science productivity platforms
 * Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary teams, Actalent
Sterling Heights, MI*Remote
JIRA
MATLAB
Mathcad
Planning
Power BI
Big Data
Simulink
Metadata
Visionary
Leadership
Innovation
Scalability
Reliability
Data Quality
Communication
Data Modeling
Collaboration
Apache Hadoop
Schema Markup
Data Integrity
Data Pipelines
Detail Oriented
Problem Solving
Data Structures
Data Governance, Power BI
Simulink
Dashboard
Visionary
Leadership
Governance
Innovation
Statistics
Mathematics
Scalability
Reliability
Probability
Data Storage
Data Modeling
Data Strategy
Data Integrity
Data Pipelines
Detail Oriented
Problem Solving
Quality Control
Data Governance
Data Management
Data Validation
Vehicle Systems
Amazon Redshift
Data Warehousing
Data Engineering
Agile Methodology
Analytical Skills
Data Architecture
Advanced Analytics
Cloud Technologies
Amazon Web Services
Data Infrastructure
Data Transformation
Alation Data Catalog
Mathematical Modeling
Artificial Intelligence
SQL (Programming Language)
Critical Illness Insurance
Verbal Communication Skills
Data-Driven Decision Making
Business Intelligence Tools
Extract Transform Load (ETL)
Scrum (Software Development)
SQL Server Analysis Services
Continuous Improvement Process
Troubleshooting (Problem Solving)
Application Programming Interface (API)
+0

## Description

The Oncology Data Science team in Biomedical Research works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering to advance innovative therapeutics across drug modalities. We are seeking a highly motivated Senior Expert I / Expert II, Data Science to join the New Targets team as an experienced individual contributor. This role will apply advanced statistical, machine learning, and computational approaches to generate biological insight from complex multi-modal datasets and support target discovery and prioritization.
The successful candidate will bring expertise across multiple omics modalities and data types, including spatial transcriptomics, proteomics, digital pathology, mIF or similar high-plex tissue imaging modalities as well as other high-dimensional molecular data such as bulk and single-cell RNA-seq, WES, WGS, etc. The role requires both scientific depth and technical fluency, including modern AI-enabled workflows that improve productivity, reproducibility, and scale.

About the Role

Key Responsibilities

 * Lead the analysis and integration of multi-modal omics datasets, including spatial transcriptomics, proteomics, high-plex imaging, and sequencing-based platforms (e.g., RNA-seq, scRNA-seq, WES, WGS)
 * Develop and apply advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex datasets
 * Partner with cross-functional teams to design and execute studies supporting target identification, validation, and translational research
 * Build and contribute to scalable, reproducible data science workflows and computational pipelines
 * Ensure high standards of data quality, reproducibility, and scientific rigor in all analyses
 * Evaluate and implement emerging technologies, including AI-assisted coding platforms and agentic tools, to enhance team effectiveness and innovation
 * Communicate scientific findings clearly to both technical and non-technical stakeholders
 * Contribute to knowledge sharing, best practices, and continuous improvement within the computational biology and data science community, Amazon Redshift
Data Integration
Data Warehousing
Agile Methodology
Data Architecture
Cloud Technologies
Systems Engineering
Systems Integration
Business Operations
Amazon Web Services
Reporting Solutions
Relational Databases
Alation Data Catalog
Artificial Intelligence
Extended Reach Drilling
SQL (Programming Language)
Critical Illness Insurance
Document-Oriented Databases
Scrum (Software Development)
SQL Server Analysis Services
Continuous Improvement Process
+0
Data Scientist
Actalent
Sterling Heights, MI*Remote
JIRA
MATLAB, Remote
Big Data
Dashboard
Innovation
Algorithms
Statistics
Data Science
Communication
Data Analysis
Data Modeling
Apache Hadoop
Customer Service
Computer Science
Machine Learning
Solutions Focused
Data Visualization
Predictive Modeling
Product Improvement
Advanced Mathematics
Programming Languages
Business Intelligence
Prototype Development
Artificial Intelligence
R (Programming Language)
Authorization (Computing)
Exploratory Data Analysis
Employee Assistance Programs
Python (Programming Language)
Tableau (Business Intelligence Software)


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