1

Reproductive Science Jobs in New Jersey (NOW HIRING)

The Lim Laboratory at Princeton University studies the immune system during reproduction and ... The successful candidate will work closely with the PI and experimental scientists in the ...

New

You will develop reusable science components and services that resolve architecture deficiencies ... reproduce it. Your decision-making will consistently incorporate robust, data-driven business and ...

You will develop reusable science components and services that resolve architecture deficiencies ... reproduce it. Your decision-making will consistently incorporate robust, data-driven business and ...

You will develop reusable science components and services that resolve architecture deficiencies ... reproduce it. Your decision-making will consistently incorporate robust, data-driven business and ...

Showing results 21-40

Reproductive Science information

See New Jersey salary details

$24.9K

$49.1K

$80.2K

How much do reproductive science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for reproductive science in New Jersey is $49,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,100.00 and $52,800.00 per year, depending on experience, location, and employer.

What is reproductive science?

Reproductive science is a field of biology and medicine that focuses on the study of the reproductive systems, functions, and processes in humans and animals. It covers topics such as fertility, contraception, reproductive health, and assisted reproductive technologies like IVF. Professionals in this field may conduct research, provide clinical care, or develop new treatments to address reproductive challenges and improve reproductive health outcomes. Reproductive science is crucial for advancing understanding of human development, managing infertility, and promoting reproductive well-being.

What are the key skills and qualifications needed to thrive as a reproductive scientist?

To thrive as a Reproductive Scientist, you need a strong background in biological sciences, laboratory techniques, and often an advanced degree such as a Master's or Ph.D. in reproductive biology or a related field. Familiarity with assisted reproductive technologies (ART), laboratory information management systems (LIMS), and certification from professional bodies like the American Board of Bioanalysis are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for success in this role. These competencies ensure accurate research, reliable outcomes in fertility treatments, and effective collaboration with multidisciplinary clinical teams.

What are some common challenges faced by professionals in reproductive science, and how can these be addressed?

Professionals in reproductive science often encounter challenges such as staying updated with rapidly evolving technologies, managing sensitive patient information, and navigating the emotional aspects of fertility treatments. To address these, it's important to engage in continuous professional development, adhere strictly to confidentiality protocols, and cultivate strong communication skills to support patients empathetically. Many teams also collaborate closely with clinicians, lab staff, and counselors to provide holistic patient care, making teamwork and adaptability essential for success.

What is the difference between Reproductive Science vs Reproductive Technology Specialist?

AspectReproductive ScienceReproductive Technology Specialist
Required CredentialsBachelor's or Master's in biology, reproductive science, or related fieldsSimilar credentials, often with additional certification in reproductive techniques
Work EnvironmentLaboratories, research facilities, academic institutionsClinics, fertility centers, medical laboratories
Industry UsageResearch, academia, biotech companiesClinical practice, patient care, assisted reproductive procedures

Reproductive Science focuses on research and understanding reproductive processes, often in labs or academic settings. Reproductive Technology Specialists work directly with patients in fertility clinics, applying reproductive techniques. While both roles require similar educational backgrounds, their work environments and primary functions differ significantly.

What are popular job titles related to Reproductive Science jobs in New Jersey?

For Reproductive Science jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Reproductive Science jobs in New Jersey look for?

The top searched job categories for Reproductive Science jobs in New Jersey are:

Infographic showing various Reproductive Science job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $49,128 per year, or $23.6 per hour.

Vice President, Quantitative Sciences & Development

SK Life Science, Inc.

Paramus, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Job description

The Vice President, Quantitative Sciences & Development provides strategic, scientific, and operational leadership for the company's Clinical Pharmacology, Pharmacometrics, Toxicology, DMPK, Biostatistics, Statistical Programming, and Clinical Data Management functions across all phases of drug development.

This executive is responsible for developing and overseeing execution of integrated quantitative strategies that support efficient translation from non-clinical development, clinical development, regulatory submissions, and evidence generation while ensuring delivery of high-quality, inspection-ready clinical data and statistical analyses. The VP serves as a key member of the Clinical Leadership Team and partners closely with Clinical Development, Clinical Operations, Regulatory Affairs, Medical Affairs, Pharmacovigilance, Quality Assurance, and external CROs to advance the company's portfolio.


Develop and implement the company's Clinical Pharmacology, Biometrics and Data Sciences strategy aligned with corporate development objectives.

Serve as a key member of the Clinical Leadership Team.

Build organizational capabilities to support a growing clinical pipeline.

Lead organizational planning, budgeting, resource allocation, and vendor strategy.

Represent Clinical Pharmacology, Data Management, and Biometrics in governance committees and executive reviews.

Clinical Pharmacology & Toxicology

Provide strategic oversight for:

  • First-in-human (FIH) study design
  • SAD/MAD studies
  • Food-effect and drug-drug interaction (DDI) studies
  • QT/QTc and organ impairment studies
  • Population PK, PBPK modeling, exposure-response analyses, dose optimization, and model-informed drug development (MIDD)
  • Nonclinical toxicology strategy, including general, reproductive, developmental, genotoxicity, and carcinogenicity studies, as applicable
  • Guide clinical pharmacology and toxicology strategy across all phases of development.
  • Review and approve PK/PD and toxicology protocols, analysis plans, study reports, and regulatory submissions.
  • Interpret nonclinical safety data to support first-in-human studies, dose selection, and benefit-risk assessments.
  • Ensure compliance with FDA, EMA, PMDA, and ICH guidance and represent the function in regulatory interactions and cross-functional governance.

Biostatistics

Provide strategic oversight for all biostatistical activities supporting clinical development.

Responsibilities include:

  • Develop statistical strategy across the clinical development portfolio.
  • Oversee study design and statistical methodology.
  • Review and approve:
    • Statistical Analysis Plans (SAPs)
    • Protocol statistical sections
    • Interim analyses
    • Adaptive design methodologies
    • Integrated summaries
    • TLFs (Tables, Listings, and Figures)
  • Guide sample size estimation, endpoint selection, multiplicity strategies, estimands, and innovative trial designs.
  • Support Data Monitoring Committees (DMCs), Independent Review Committees (IRCs), and interim decision-making.
  • Provide statistical leadership for:
    • NDA/BLA submissions
    • FDA Type B/C meetings
    • EMA Scientific Advice
    • PMDA interactions
  • Ensure statistical integrity and regulatory compliance across all studies.

Statistical Programming

Provide executive oversight of statistical programming activities including:

  • SDTM and ADaM dataset development
  • TLF (Tables, Listings, and Figures) generation
  • CDISC implementation
  • SAS and R programming standards
  • Submission-ready datasets
  • Define.xml preparation
  • Regulatory submission programming
  • Automation and programming innovation
  • Validation and quality control processes

Establish efficient programming standards that ensure timely database analyses and global submission readiness.

Clinical Data Management

  • Provide executive oversight of all Clinical Data Management activities.
  • Ensure high-quality, inspection-ready clinical databases.
  • Oversee:
    • IWRS (Interactive Web Response System)/IRT (Interactive Response Technology) design
    • Database design
    • CRF/eCRF development
    • Data review plans
    • Data cleaning
    • Medical coding
    • Database lock
    • Data quality metrics
  • Establish enterprise data standards including:
    • CDISC SDTM
    • CDASH
    • Controlled Terminology
  • Ensure timely delivery of clean data for interim analyses and regulatory submissions.
  • Lead implementation of innovative technologies including:
    • Risk-based data review
    • Centralized monitoring
    • AI-assisted data review
    • Electronic Clinical Outcome Assessments (eCOA)
    • Wearable device integration
    • Decentralized clinical trial data capture

Cross-Functional Collaboration

Partner closely with:

  • Clinical Development
  • Clinical Operations
  • Regulatory Affairs
  • Medical Affairs
  • Safety/Pharmacovigilance
  • Medical Writing
  • Clinical Supply
  • Quality Assurance
  • Commercial
  • Health Economics & Outcomes Research (HEOR)

Regulatory Leadership

  • Provide clinical pharmacology leadership for regulatory interactions.
  • Lead preparation of:
    • Clinical Pharmacology Summary
    • Module 2.7 documents
    • Module 5 components
    • NDA/BLA/MAA submissions
  • Support FDA Type A/B/C meetings, End-of-Phase meetings, and Advisory Committees.
  • Respond to global regulatory information requests.

Vendor Management

  • Select, oversee, and evaluate CROs and specialty vendors.
  • Establish KPIs and performance metrics.
  • Manage budgets and contracts.
  • Ensure vendor compliance with GCP and company quality standards.

Quality & Compliance

  • Ensure compliance with:
    • ICH GCP
    • FDA regulations
    • EMA guidance
    • 21 CFR Part 11
    • GCDMP
    • Company SOPs
  • Maintain inspection readiness.
  • Support regulatory inspections and audits.

People Leadership

  • Build, mentor, and lead high-performing Clinical Pharmacology, Biometrics and Data Management teams.
  • Recruit and retain top scientific and operational talent.
  • Foster a culture of innovation, collaboration, accountability, and continuous improvement.
  • Develop succession plans and leadership capabilities.

PhD, PharmD, MD, or equivalent advanced degree in:

  • Clinical Pharmacology
  • Pharmaceutical Sciences
  • Pharmacokinetics
  • Biomedical Sciences
  • Biostatistics
  • Medicine
  • Related scientific discipline

Work Experience:

  • 15+ years of progressive pharmaceutical or biotechnology industry experience.
  • Significant experience in both Clinical Pharmacology and Clinical Data Management/Biometrics leadership.
  • Experience leading programs from early clinical development through regulatory approval.
  • Demonstrated success supporting NDA/BLA submissions.
  • Executive leadership experience preferred.
  • Experience managing global CROs and strategic partnerships.
  • Experience in neuroscience, CNS, rare disease, oncology, or specialty pharmaceuticals.
  • Experience supporting global development programs.
  • Familiarity with AI-enabled clinical development platforms and advanced analytics.
  • Experience implementing modern data strategies, including real-world data integration and decentralized clinical trial technologies.

Compensation & Benefits

The anticipated salary range for this position is $325,000 to $375,000. Actual compensation may vary based on factors including experience, qualifications, skills, and business needs.

In addition to base salary, SK Life Science offers a competitive benefits package, including a 401(k) plan with company match and medical, dental, and vision coverage. Benefits are subject to eligibility requirements and may be modified at the Company's discretion.