ZipRecruiter

Log In

1

Bioinformatics Analyst Iii Jobs in Basking Ridge, NJ

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer ... Strong Python experience across exploratory data analysis, predictive modeling, and applied machine ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$90K/yr

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... three relevant scientific papers, * names and contact information for three references. All ...

New York University

Research Scholar

New York, NY · On-site

$50/hr

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... three references. All application materials should be submitted electronically via Interfolio.

StateJobsNY

Research Scientist 4

Staten Island, NY · On-site

$110K - $135K/yr

Proteomics data are processed using the ProteinLynx 3.0.3 and Progenesis QIP software suites as ... Facility with computers and software, including an understanding of bioinformatics approaches ...

New York State

Research Scientist 4

Staten Island, NY · On-site

$110K - $135K/yr

Proteomics data are processed using the ProteinLynx 3.0.3 and Progenesis QIP software suites as ... Facility with computers and software, including an understanding of bioinformatics approaches ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$90K/yr

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... three relevant scientific papers, * names and contact information for three references. All ...

Novartis

Expert - Molecular Biology

East Hanover, NJ

$102K - $153K/yr

As a key member of the Analytical Development team, this individual will support developmental ... S. with > 3 years or M.S. with > 1 year of industry experience, hands-on experience with various ...

previous pagenext page

Showing results 21-40

All JobsBioinformatics Analyst Iii JobsBioinformatics Analyst Iii Jobs in Basking Ridge, NJ

Bioinformatics Analyst Iii information

See Basking Ridge, NJ salary details

$6

$47

$84

How much do bioinformatics analyst iii jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for bioinformatics analyst iii in Basking Ridge, NJ is $47.22, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $50.53 per hour, depending on experience, location, and employer.

What is a bioinformatics analyst III?

A Bioinformatics Analyst III is an advanced-level professional who applies computational and statistical techniques to analyze complex biological data, such as genomic, transcriptomic, or proteomic datasets. They often work in research, healthcare, or pharmaceutical settings, collaborating with scientists to interpret large-scale data, develop analytical pipelines, and support decision making. Their responsibilities typically include data management, algorithm development, and presenting findings to both technical and non-technical audiences. This role generally requires significant experience in bioinformatics, programming skills, and a strong understanding of biological concepts.

What are the key skills and qualifications needed to thrive as a bioinformatics analyst III?

To thrive as a Bioinformatics Analyst III, you need advanced knowledge of molecular biology, statistics, and computer science, typically backed by a master's degree or Ph.D. in a related field. Proficiency in programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with large-scale data analysis platforms are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are critical for delivering accurate biological insights, supporting research projects, and driving innovation in genomics and biomedical research.

What are some typical challenges faced by a bioinformatics analyst III when integrating new data types into existing analysis pipelines?

Bioinformatics Analyst III professionals often encounter challenges when integrating new data types, such as ensuring compatibility with existing databases, adapting analysis pipelines to handle different formats, and validating data quality. These tasks require a deep understanding of both computational tools and biological context to ensure accurate results. Collaboration with wet-lab scientists and IT teams is common to address these challenges efficiently and to implement robust, scalable solutions. Continuous learning and staying updated with the latest bioinformatics tools are also essential for overcoming these integration hurdles.

What are popular job titles related to Bioinformatics Analyst Iii jobs in Basking Ridge, NJ?

For Bioinformatics Analyst Iii jobs in Basking Ridge, NJ, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Analyst Iii jobs in Basking Ridge, NJ look for?

The top searched job categories for Bioinformatics Analyst Iii jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Bioinformatics Analyst Iii jobs?

Cities near Basking Ridge, NJ with the most Bioinformatics Analyst Iii job openings:

Bioinformatics Analyst Iii jobs near you
Infographic showing various Bioinformatics Analyst Iii job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $98,220 per year, or $47.2 per hour.

Senior Applied Scientist, Credit Risk

Ramp

New York, NY • On-site

$165K - $228K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
We're looking for a Senior Applied Scientist to help drive the future of credit applied science at Ramp. In this role, you will design, build, and optimize the models that power our credit risk systems, helping us make faster, smarter, and more scalable risk decisions for our customers.
You'll work at the intersection of machine learning, statistics, economics, and product strategy. This role requires strong technical depth as well as close collaboration with business, product, data, and engineering partners. You will help identify high-impact opportunities, translate ambiguous business problems into rigorous modeling work, and ship models that operate reliably in production.
Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of machine learning, causal inference, structural modeling, and optimization.
What You'll Do
  • Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
  • Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
  • Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
  • Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
  • Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
  • Generate and communicate data-driven insights that influence product, risk, and company strategy
  • Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
  • Contribute to best practices for model development, experimentation, documentation, testing, and production reliability

What You Need
  • Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
  • Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
  • Experience working with large datasets using Python and SQL
  • Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
  • Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
  • Track record of shipping high-quality machine learning products in production and at scale
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice-to-Haves
  • PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
  • Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
  • Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
  • Experience at a high-growth startup
  • Experience leveraging AI/LLMs for development or for internal workflows

Benefits available to all full-time Ramp employees (Global)
  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend

United States
  • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
  • One Medical annual membership
  • 401(k), including employer match on contributions made while employed by Ramp
  • Fertility HRA (up to $10,000 per year)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
  • Pet insurance
  • In-office perks: lunch, snacks, drinks, and more
  • Relocation expense coverage to NYC or SF (if needed)
Canada
  • Group medical, dental, and vision coverage through Sun Life
  • Life, AD&D, and disability coverage
  • Fertility drug coverage (up to $4,000 lifetime)
  • Group Retirement Plan with employer match (RRSP + DPSP)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
  • Employee Assistance Program and virtual care through Lumino Health

United Kingdom
  • Private medical insurance through Freedom Elite
  • Virtual GP and at-home care via eMed x Livi
  • Workplace pension through Penfold, with salary sacrifice option
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice

Apply