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Data Science Phd Jobs in Rochester, NY (NOW HIRING)

Contribute to related data processing and image reconstruction workflows when required. B) Image ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

The division's clinical research group includes research coordinators, research nurses, and data ... Science (NCATS)-funded Clinical and Translational Sciences Institute (CTSI). The CTSI provides ...

Scientific computing: Experience with Python, C++, Julia, UNIX/Linux, bash, git, data analysis, or ... Completion of PhD or are expected to complete within the current calendar year. Work Arrangement:

Writing scientific papers, technical documents, and engineering notes. * Performing other duties as ... PhD in Electronics Engineering or Physics (post-degree experience a plus). Applicable Knowledge ...

Sr Electrical Engineer

Rochester, NY ยท On-site

$86K - $129K/yr

... data, education, experience, qualifications, expertise of the individual, and internal equity ... The candidate will be working independently with scientists and engineers from other disciplines in ...

Neonatologist

Rochester, NY ยท On-site

$230K - $250K/yr

The division's clinical research group includes research coordinators, research nurses, and data ... Science (NCATS)-funded Clinical and Translational Sciences Institute (CTSI). The CTSI provides ...

Research Associate

Batavia, NY ยท On-site

$69K - $92K/yr

Participate in data acquisition, conduct analysis and present/publish outcomes at conferences and ... Completion of PhD, or to complete by end of calendar year. Applicable Knowledge, Skills and ...

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Experiences/Education - Required * BS, MS, or PhD in Optics, Optical Engineering, or a closely ...

Optical Design Engineer

Fairport, NY ยท On-site

$112K - $155K/yr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Experiences/Education - Required * BS, MS, or PhD in Optics, Optical Engineering, or a closely ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

What are the key skills and qualifications needed to thrive as a Data Science PhD, and why are they important?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What are popular job titles related to Data Science Phd jobs in Rochester, NY? For Data Science Phd jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Science Phd jobs in Rochester, NY look for? The top searched job categories for Data Science Phd jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science Phd jobs? Cities near Rochester, NY with the most Data Science Phd job openings:
Medical Engineer

Medical Engineer

Sapsol Technologies Inc

Rochester, NY โ€ข On-site

Contractor

Posted 16 days ago


Job description

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD)ย in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian)ย in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processingย within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstructionย pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programmingย (preferably Philipsย research environments).
  • Solid foundations in MRI reconstruction, including nonCartesianย methods, and software engineering.
  • Handson experience with C++ / Python / MATLABย for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhDย in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environmentsย (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGDย diffusion methods and/or FLORETย UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.