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Adjunct Instructor, Data Science

Boston, MA

$1.3K/wk

Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach ...

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How much do data science professor jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science professor in the United States is $110,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $156,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Science Professor, you need a robust background in statistics, machine learning, and programming, typically supported by a Ph.D. in data science, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and big data platforms, along with experience in publishing research, is highly valued. Strong communication, mentorship, and organizational skills help in delivering effective lectures, guiding student projects, and collaborating with peers. These abilities are critical for providing high-quality education, advancing research, and preparing students for real-world data science careers.

What are the main responsibilities of a Data Science Professor on a daily basis?

As a Data Science Professor, your daily responsibilities typically include preparing and delivering lectures, designing curriculum and assignments, supervising student research projects, and staying up to date with advancements in the field. You will also spend time advising students, collaborating with academic colleagues, and conducting research for publication in scholarly journals. Many professors also participate in departmental meetings, grant writing, and community outreach. This dynamic mix of teaching, research, and collaboration ensures both professional growth and meaningful contribution to the academic community.

What is the salary of a PhD in data scientist?

A data scientist with a PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Those with advanced degrees and strong skills in machine learning, statistical analysis, and programming tools like Python or R often command higher salaries.

What does a Data Science Professor do?

A Data Science Professor teaches courses on data science, machine learning, and statistics at a university or college. They conduct research in areas like artificial intelligence, big data, or analytics while mentoring students in academic and professional development. Their role also includes publishing research papers, securing grants, and collaborating with industry partners to advance data science education and innovation.

Is a PhD worth it for data science?

For a data science professor, a PhD is typically essential, as it demonstrates expertise in research, advanced statistical methods, and domain knowledge. While some data science roles in industry may accept master's degrees or certifications, academic positions generally require a doctoral degree and proficiency in programming languages like Python or R. Earning a PhD can also lead to higher salary potential and research opportunities in the field.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those starting or transitioning at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Age is less important than your ability to learn and adapt to evolving technologies in the field.

How to become a data science lecturer?

To become a data science lecturer, typically a master's or doctoral degree in data science, computer science, or a related field is required. Relevant experience in data analysis, programming skills in languages like Python or R, and a strong understanding of statistical methods are also important, along with teaching experience or academic publications. Certifications in data science tools or platforms can enhance qualifications.
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Informatics and Health Data Science- Research Asst. Professor

Informatics and Health Data Science- Research Asst. Professor

The University of Miami

Miami, FL • On-site

Full-time

Re-posted 20 days ago

University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities

Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet.

Job Profile Name:

Res. Assistant Professor

Job Code: JP3_24102

Job Family Group:

Research

FLSA Status: Exempt

Job Family:

Researchers

Career Level: P4

Created/Revision Date:

8/1/2017, 1/1/2024

Grade:

CORE JOB SUMMARY

The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University's research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University's reputation as a leader in the field.

CORE JOB FUNCTIONS

Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

CORE QUALIFICATIONS

Education:

Ph.D., M.D. or other doctoral level degree relevant field

Certification and Licensing:

Not Applicable

Experience:

Minimum 1 year of relevant experience

Knowledge, Skills and Attitudes:

  • Skill in collecting, organizing, and analyzing data.
  • Ability to recognize, analyze, and solve a variety of problems.
  • Ability to exercise sound judgment in making critical decisions.

DEPARTMENT ADDENDUM

Department Specific Functions

The Department of Informatics and Health Data Science (DIHDS), Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation.

The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research,educational/mentorship,and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science.

Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes.

An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged.

We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology.

Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.

This role collaborates with researchers to develop high throughput data processing and analysis capability.

Directs and guides database searches and the computational analysis of resulting data.

May assist in grant and other funding applications, as necessary and appropriate.

Demonstrated ability to function as part of a team. Performs other responsibilities as required.

This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding.

Department Specific Qualifications

Education:

PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects' datasets).

Certification and Licensing:

Type Here

Experience:

Type Here

Knowledge, Skills and Attitudes:

  • Type Here

PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT

The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Working Conditions

Environmental Dimension

Never

Occasionally

Frequently

Constantly

Conditions of extreme heat or extreme cold

x

Wet/Humid conditions

x

Fumes/Dust/Dirt/Smoke

x

Confined areas

x

High places

x

Equipment in motion

x

High noise levels

x

Environmental hazards

x

Exposure to TB

x

Exposure to Blood-borne Pathogens

x

Exposure to Radiant Energy

x

Outdoor/Exposed areas

x

Equipment Used

Equipment Used

Never

Occasionally

Frequently

Constantly

Vehicle Type

Operate vehicles (Select Vehicle)

x

Use hand tools

x

Use power tools

x

Physical Requirements

Physical Dimension

Never

Occasionally

Frequently

Constantly

Weight

Sitting

x

Standing

x

Walking

x

Stooping/Climbing

x

Carrying

x

Kneeling

x

Crouching

x

Bending

x

Crawling

x

Reaching

x

Handling

x

Sensory Requirements

Sensory Dimension

Never

Occasionally

Frequently

Constantly

Vision Type

Vision

x

Depth Perception

x

Color Vision

x

Peripheral

x

Concentration

x

Use of keyboard or touchscreen

x

Talking

x

Feeling

x

Smelling

x

The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department.

End of Job Description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet.

Job Status:

Full time

Employee Type:

Faculty

What University Of Miami employees say

Pay

Benefits

Hours and flexibility

Workplace

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925

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