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Phd In Management Jobs in Connecticut (NOW HIRING)

... management Position Responsibilities: * Manages a small team of data scientists and data engineers ... PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ...

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Phd In Management information

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$51.4K

$147.3K

$232.1K

How much do phd in management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for phd in management in Connecticut is $147,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $180,300.00 per year, depending on experience, location, and employer.

What is the difference between Phd In Management vs Management Consultant?

AspectPhd In ManagementManagement Consultant
Required CredentialsDoctorate degree in management or related fieldBachelor's or Master's degree, often with business or management focus
Work EnvironmentAcademic, research, or teaching settingsCorporate, consulting firms, client sites
Industry UsageHigher education, research institutions, think tanksBusiness, finance, healthcare, technology
Common Search/ComparisonAcademic career, research rolesBusiness strategy, problem-solving

The Phd In Management is primarily an academic qualification preparing individuals for research and teaching roles, while Management Consultants focus on advising organizations to improve performance. Although both roles involve management knowledge, their work environments and career paths differ significantly.

What are popular job titles related to Phd In Management jobs in Connecticut? For Phd In Management jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Phd In Management jobs in Connecticut look for? The top searched job categories for Phd In Management jobs in Connecticut are:
What cities in Connecticut are hiring for Phd In Management jobs? Cities in Connecticut with the most Phd In Management job openings:
Infographic showing various Phd In Management job openings in Connecticut as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 6% Temporary, and 5% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,329 per year, or $70.8 per hour.

Bioinformatics Scientist, Translational Oncology

SEMA4

Stamford, CT • On-site

Full-time

Re-posted 16 hours ago


Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Bioinformatics Scientist, Translational Oncology to lead and support projects that translate genomic results and/or clinical EMR datasets into novel discoveries. You will aid in the design and development of Sema4's databases and associated data analytics. This role will serve as a SME in genomics, cancer biology and clinical oncology.
RESPONSIBILITIES
  • Lead translational research projects in collaboration with oncologists and basic scientists using Sema4's unique data resources.
  • Contribute to automated extraction of key data elements from EMR
  • Ability to evaluate available literature and other data sources such ClinVar, cBioPortal, TCGA, NCBI, Ensembl, Broad FireHose, etc.
  • Present research findings to stakeholders
  • Publish novel findings in academic journals and present at conferences

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. We will also consider MDs with training in oncology and/or Biomedical Informatics.
  • Minimum 2-3 years of Post-Doctoral or Industry experience.
  • Strong computational and analytical skills.
  • Deep understanding of genomics, cancer biology or clinical oncology. Experience in oncology is highly preferred.
  • Excellent written and verbal communicator.
  • Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
  • Proficiency in one or more programming languages including Python, R and SQL; familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
  • Interest in data science and machine learning approaches to solving complex problems.
  • Experience of developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Highly motivated, great ability to work independently or as part of a team.
  • Track record of publishing high impact peer-reviewed research articles.