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Full Time Cardiovascular Research Scientist Jobs in Rutherford, NJ

Spring Health is looking for a Clinical Research Scientist to join our Health Economics and ... This is a full-time position that is fully remote. What you'll do * Publish novel, high impact ...

Post Doctorate Researcher

New York, NY · On-site

$62K - $70K/yr

They will be expected to collaborate very closely with basic scientists and clinical colleagues at the Cardiovascular Research Center and to contribute to the mentoring of junior researchers. They ...

We are seeking an experienced Clinical Research Coordinator (CRC) to join Vitalief as a full-time ... to scientific advancements that directly improve patient lives in the field of cardiovascular ...

We are seeking an experienced Clinical Research Coordinator (CRC) to join Vitalief as a full-time ... to scientific advancements that directly improve patient lives in the field of cardiovascular ...

Showing results 41-60

Full Time Cardiovascular Research Scientist information

See Rutherford, NJ salary details

$51.5K

$132.6K

$177.4K

How much do full time cardiovascular research scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time cardiovascular research scientist in Rutherford, NJ is $132,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $176,400.00 per year, depending on experience, location, and employer.

What does a full time cardiovascular research scientist do?

A Full Time Cardiovascular Research Scientist conducts research to better understand the cardiovascular system, its diseases, and potential treatments. Their work often involves designing and performing laboratory experiments, analyzing data, and publishing findings in scientific journals. They may also collaborate with other scientists, clinicians, and research organizations to advance knowledge in the field. Additionally, they may help develop new diagnostic tools or therapies for heart and blood vessel diseases. This position typically requires advanced education and strong analytical skills.

What are the key skills and qualifications needed to thrive as a full time cardiovascular research scientist?

To thrive as a Full Time Cardiovascular Research Scientist, you need advanced knowledge in cardiovascular biology, experimental design, and statistical analysis, typically supported by a PhD or MD and relevant research experience. Proficiency with laboratory techniques (such as PCR, Western blotting, and cell culture), data analysis software (like SPSS or R), and compliance with regulatory protocols is essential. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are standout soft skills for this position. These competencies are crucial for conducting high-quality research, ensuring data integrity, and contributing to scientific advancements in cardiovascular health.

What are some common challenges faced by full time cardiovascular research scientists in managing long term research projects?

Full-time cardiovascular research scientists often encounter challenges such as balancing multiple ongoing studies, securing consistent funding, and adapting to evolving scientific technologies. Coordinating with multidisciplinary teams—including clinicians, statisticians, and laboratory staff—can also require strong communication and project management skills. Additionally, scientists must stay current with regulatory requirements and ethical standards to ensure the integrity and impact of their research. Overcoming these challenges is essential for producing meaningful results and advancing career growth in the field.
Infographic showing various Full Time Cardiovascular Research Scientist job openings in Rutherford, NJ as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $132,645 per year, or $63.8 per hour.

AI Research Scientist - Campus Full-Time

Two Sigma Investments, LP

New York, NY • On-site

$300K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Develop techniques and infrastructure to build predictive models for financial markets, from initial idea to production.

  • Write code, run experiments using AI and Machine Learning tools, and develop processes for alpha modeling and trading tactics.

  • Partner with teams across the company to implement research ideas into products.


Job description

AI Research Scientist - Campus Full-Time
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Early Careers
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers, and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning (complex neural networks, sequence models etc.), Large Language Models, Reinforcement Learning techniques to many types of problems in complex systems, but particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their final year of study.
You will take on the following responsibilities:
  • Develop effective techniques and infrastructure, from the initial idea to the running prototypes and productionization
  • You will write code, use the latest AI and Machine Learning tools, run experiments on state-of-the-art infrastructure and in the cloud, and generally develop techniques and processes to build predictive models for financial markets including but not limited to alpha modeling and trading tactics
  • Partner with teams across Two Sigma to implement your ideas into our products
  • Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences

You should possess the following qualifications:
  • Advanced degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
  • Excellent programming skills in Python (familiarity with Rust/Java/C++ is a plus) and deep knowledge of Tensorflow/PyTorch/JAX or similar
  • Internships/work experience with Deep Learning, LLMs and/or Reinforcement Learning
  • Background in Machine Learning techniques with large amounts of noisy data, curiosity in applying it to financial problems
  • Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred)
  • Experience with cloud environments and multi-machine CPU/GPU setups
  • Experience with version control systems, regression/unit testing, code reviews, profiling
  • Participation in open source community is a plus
  • Being able to work well with others in teams

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be $300,000 . This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.