ZipRecruiter

Log In

1

Fitbit Jobs in Massachusetts (NOW HIRING)

Nift

Chief of Staff

Boston, MA · On-site

We're a data-driven, cash-flow-positive company backed by the investors behind Fitbit, Warby Parker, and Twitter, and we're scaling toward global impact. Read more about our growth here. What you'll ...

Nift

Chief of Staff

Boston, MA · On-site

We're a data-driven, cash-flow-positive company backed by the investors behind Fitbit, Warby Parker, and Twitter, and we're scaling toward global impact. Read more about our growth here. What you'll ...

All JobsFitbit JobsFitbit Jobs in Massachusetts

Fitbit information

See Massachusetts salary details

$12

$23

$54

How much do fitbit jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for fitbit in Massachusetts is $23.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.21 and $22.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fitbit position, and why are they important?

To thrive at Fitbit, candidates typically need strong skills in software engineering, product development, or data analysis, often supported by a relevant degree in computer science, engineering, or a related field. Proficiency with tools such as Python, Java, data analytics platforms, and experience with wearable technology systems is valuable. Creativity, collaboration, and a passion for health technology are soft skills that distinguish top performers. Mastering these skills is essential for driving innovation and delivering user-focused health solutions in a fast-paced technology environment.

What are typical career growth opportunities for employees at Fitbit?

Fitbit offers a variety of career advancement opportunities across technical, product, and leadership tracks. Team members can progress to senior or lead positions, move into specialized roles such as data scientist or hardware engineer, or transition into cross-functional areas like product management. The company fosters professional development through mentorship, training programs, and the chance to work on pioneering health technology projects. Employees who demonstrate strong performance and adaptability often find ample pathways to grow their careers within Fitbit’s dynamic and collaborative environment.

What cities in Massachusetts are hiring for Fitbit jobs?

Cities in Massachusetts with the most Fitbit job openings:

Fitbit jobs near you
Infographic showing various Fitbit job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,175 per year, or $23.2 per hour.

Computational Biologist

University of Massachusetts Medical School

Worcester, MA • On-site

$80K - $90K/yr

Full-time

Re-posted 11 days ago

Job description

Overview
The Computational Biologist be part of an interdisciplinary research group combining systems biology, immunology, and human genetics to uncover the mechanisms that drive autoimmune disease. The lab leads large-scale efforts such as the VIGOR family-based vitiligo cohort (bigor.umassmed.edu) and multi-omic studies of lupus and cutaneous autoimmunity, integrating data across molecular, cellular, and clinical scales.
This position will bridge two complementary areas of research:
  1. Molecular systems immunology, involving the analysis of single-cell and spatial transcriptomic, epigenomic, and proteomic datasets to dissect cell states and communication networks in diseased and healthy tissues.
  2. Genetic and longitudinal modeling, integrating genomic variation with real-world longitudinal data-including proteomics, wearable device metrics, survey responses, and clinical measures-to build predictive and causal models of disease initiation and progression.

The ideal candidate combines strong computational and statistical skills with a biological curiosity about how genetic and environmental factors jointly shape immune dysregulation.
Responsibilities
Responsibilities
  • Process, analyze, and interpret large-scale datasets including bulk and single-cell RNA-seq, ATAC-seq, proteomics, and spatial transcriptomics.
  • Develop new analysis methods as needed and as they arise during investigations
  • Perform clustering, trajectory inference, and regulatory network reconstruction to define immune cell states and pathways relevant to autoimmune pathogenesis.
  • Work closely with clinicians, immunologists, and experimentalists to formulate biologically grounded hypotheses and computational analyses.
  • Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks).
  • Combine data from wearable sensors (e.g., Fitbit activity, sleep, heart rate), clinical surveys, and biomarker measurements to model temporal dynamics of disease activity.
  • Present findings in lab meetings, consortium calls, and scientific conferences; contribute to manuscripts and grant proposals.
  • Generate publication-quality figures and interactive visualizations that communicate complex data intuitively.

Qualifications
Required Qualifications
  • Master's degree in Computational Biology, Bioinformatics, Genetics, Statistics, Physics, Math or a related quantitative field; Ph.D. strongly preferred.
  • 1-3 years of related experience
  • Strong proficiency in R or Python, statistical modeling, and data visualization.
  • Strong understanding of linear models, mixed-effect models, and in general machine learning approaches to complex datasets.
  • Experience working in Unix/Linux environments and using HPC or cloud-based computational resources.

Preferred Qualifications
  • Background in human genetics or clinical genomics, including genotype imputation, association testing, and fine-mapping.
  • Experience with integrative or multi-omic data analysis and familiarity with single-cell and spatial transcriptomic data.
  • Knowledge of causal inference, longitudinal modeling, or Bayesian hierarchical modeling.
  • Exposure to wearable-device or digital-phenotyping datasets and experience linking such data to molecular or clinical outcomes.
  • Understanding of immunology or autoimmune disease biology.
  • Familiarity with containerization (Docker/Singularity), workflow management systems (Snakemake, Nextflow), and reproducible-research practices.

Additional Information
#LI-KR1

Apply