Senior Scientist – DSCS Digital Technologies, Laboratory Automation, Digital Integration, Data [...]

Jobtailor; New Jersey; On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in New Jersey is seeking a scientist to design the lab of the future by integrating robotics, analytics, and software into high-performing solutions. You will work with researchers to translate experimental needs into scalable digital workflows.

The role spans automation, data science, modeling, IT, and CMC, requiring cross-functional collaboration. You will lead projects from concept through deployment and mentor scientists in digital tech adoption.

Qualifications

• A Ph.D. in Chemistry, Biochemistry, Engineering, Physics, Biology, Pharmaceutical Sciences, or a related field (expected graduation in 2026).
• A M.S. in a related field with at least 2 years of relevant experience.
• A B.S. in a related field with at least 4 years of relevant experience.
• Motivation to modernize development practices across biologics, vaccines, and small molecule modalities.

Responsibilities

• Design the lab of the future by developing technologies that integrate robotics, analytics, and software.
• Partner with researchers to understand experimental needs and convert them into scalable digital workflows.
• Collaborate across automation, data science, modeling, IT, and CMC communities.
• Lead high-impact projects from concept to deployment across teams.
• Improve existing digital technologies and automation platforms for performance and reliability.
• Provide hands-on partnership, support, troubleshooting, and training to scientists.

Skills

Communication skills

Publications & presentations

Cross-functional collaboration

Technology-centric mindset

Education

PhD in Chemistry/Engineering/Biology/Physics

MS with 2+ years experience

BS with 4+ years experience

Job description

Responsibilities

• design the lab of the future by developing technologies that integrate robotics, analytical instrumentation, and software into cohesive, high-performing solutions
• deliver world-renowned science by partnering with researchers to understand experimental needs and convert them into scalable digital workflows
• work at the intersection of multiple disciplines, collaborating with experts in automation, data science, modeling, IT, and the CMC community at large
• lead high-impact projects from concept through deployment, working across teams and stakeholders to deliver meaningful outcomes
• continuously improve existing digital technologies and automation platforms to enhance performance, usability, and reliability
• empower others by providing hands‑on partnership, support, troubleshooting, and training to scientists using these technologies

Requirements

• A Ph.D. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field (expected graduation in 2026)
• A M.S. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field with at least 2 years of relevant experience
• A B.S. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field with at least 4 years of relevant experience
• Highly-motivated and technology-centric scientist that is passionate about modernizing our company's development practices across biologics, vaccines, and small molecule modalities.
• Background and experience in data-rich technologies, data engineering, and digital integration across process analytical technology (PAT) ecosystems.
• Demonstrated scientific ability through publications and presentations in scientific conferences.
• Excellent communication skills, demonstrated creativity, and effective interpersonal skills.
• Ability to deliver complex solutions under compressed timelines in a dynamic environment.
• Ability to work in a team environment with cross-functional interactions.