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Computational Data Science Jobs in New York (NOW HIRING)

Tempus

Senior Computational Biologist I

New York, NY · On-site

$115K - $175K/yr

... Data Science team supporting Medical Affairs. In this role, you will work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and translate their ...

Neptune Bio

Computational Biologist

New York, NY · On-site

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven ... scientists. You will design, implement, and scale computational pipelines for single-cell ...

Sun Chemical

Material Science Analyst

Carlstadt, NJ · On-site

$26.75 - $33.25/hr

Apply materials and surface science principles to evaluate structure-property relationships ... Apply computational, statistical, and data-analysis tools to support interpretation of experimental ...

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All JobsComputational Data Science JobsComputational Data Science Jobs in New York

Computational Data Science information

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$62

$89

How much do computational data science jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for computational data science in New York is $62.16, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $73.65 per hour, depending on experience, location, and employer.

What does a computational data scientist do?

A computational data scientist analyzes large datasets using programming languages like Python or R, develops algorithms, and applies statistical models to extract insights and solve complex problems. They often work with machine learning tools and require strong analytical skills, programming knowledge, and familiarity with data management environments.

Is computational science in demand?

Computational Data Science is in high demand across industries such as technology, finance, healthcare, and research, driven by the increasing reliance on data analysis, machine learning, and big data tools. Professionals with skills in programming, statistical analysis, and data modeling are sought after for roles involving data-driven decision making and automation.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

What is Computational Data Science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

Is 40 too late for data science?

Computational Data Science is a field where individuals can enter at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning through online courses or certifications. Age is generally not a barrier if you develop the necessary technical skills and stay current with industry tools.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

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

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.
What are popular job titles related to Computational Data Science jobs in New York? For Computational Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Computational Data Science jobs in New York look for? The top searched job categories for Computational Data Science jobs in New York are:
Computational Data Science jobs near you
Infographic showing various Computational Data Science job openings in New York as of July 2026, with employment types broken down into 2% Locum Tenens, 69% Full Time, 28% Part Time, and 1% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $129,283 per year, or $62.2 per hour.

Data Science Managers

Jobs for Humanity

Piscataway, NJ

Full-time

Re-posted 15 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Rutgers Ag to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Rutgers Ag
Job Description

Posting Title: Professor - Data Science - Tenured
Department: Proteomics
Salary: Open
Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished data scientist, focused on three-dimensional (3D) structures of biological macromolecules, to be appointed at the level of tenured Professor or above. This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative. We are seeking an expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences.
The RCSB PDB, headquartered at Rutgers, is the United States data center of the Worldwide Protein Data Bank partnership (wwPDB.org). Now in its 52nd year of continuous operations, the PDB has been funded by US government agencies since 1971. Today, it is jointly supported by the National Science Foundation, the National Institutes of Health, and the US Department of Energy, to serve many millions of PDB data consumers worldwide with its one-stop-shop for open access to the world's public domain 3D biostructure information. PDB data are also repackaged and freely reused by nearly 500 trusted external data resources and biopharmaceutical companies, both large and small, at no charge and with no limitations on usage.
Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations. The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access. Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via ROCS. Review of applications will begin in September 2023 and will continue until the position is filled.
Position Status: Full Time
Posting Number: 23FA0830
Posting Open Date: 08/14/2023
Posting Close Date:
Qualifications:
Minimum Education and Experience: Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations.
Certifications/Licenses:
Required Knowledge, Skills, and Abilities: Expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences. A track record of successfully leading large multidisciplinary teams engaged in national/international collaborations.
Equipment Utilized:
Physical Demands and Work Environment Overview Statement: The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access.
Posting Details:
Special Instructions to Applicants: Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via the job.rutgers.edu job posting. Review of applications will begin in September 2023 and will continue until the position is filled.
Quick Link to Posting: https://jobs.rutgers.edu/postings/208064
Campus: Rutgers University-New Brunswick
Home Location Campus: Busch (RU-New Brunswick)
City: Piscataway
State: NJ
Location Details: Institute for Quantitative Biomedicine - Proteomics
174 Frelinghuysen Rd
Piscataway NJ 08854
Pre-employment Screenings: All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements: Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption.
Affirmative Action/Equal Employment Opportunity Statement: It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.
Posting Specific Questions: Required fields are indicated with an asterisk ().
Applicant Documents:
Required Documents:
- Resume/CV
- Cover Letter/Letter of Application
- Other Document
- List of Professional References (contact Info)
- Research Statement
- Other Documents (4)
Optional Documents:
Contact RU-info at 732-445-info (4639) | Questions? Ask Colonel Henry or text us at 732-662-2664.

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