At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Biological Research

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for an Associate Director, Global Proteomics to be located in Cambridge, MA.

Do you want to use your hard earned skills and drive to make a difference in the lives of patients? This team and platform lead role combines scientific depth, operational leadership, and strong cross functional collaboration to deliver across the Johnson & Johnson portfolio. The candidate will lead Global Proteomics, one of three platform pillars within the Discovery Proteomic Platforms (DPP) group — alongside Chemoproteomics and Immunopeptidomics — in the Discovery Technologies and Molecular Pharmacology (DTMP) department of Therapeutics Discovery.

Lead a motivated team dedicated to deploying groundbreaking mass spectrometry proteomics technologies as we, together, tackle the challenges of target identification and validation as well as therapeutic optimization. Work across a leading multiomics organization to provide integrated insights across a variety of 'omics layers. Your team's data shapes study design, compound selection, and program direction across a broad portfolio with influence earned through scientific rigor and partnership with program teams across Oncology, Immunology, and Neuroscience. Work in an exciting, interdisciplinary environment, overlapping the different stages of the discovery pipeline. With your help, we will drive development of medicines for our patients!.

You will be responsible for:

• Managing and developing a team of wet‑lab scientists; build an inclusive, feedback‑rich culture focused on scientific excellence, safety, and continuous improvement.
• Establishing delivery frameworks with clear SLAs, cycle‑time targets, and prioritization aligned to portfolio decision points and pre‑portfolio (platform‑building) needs.
• Planning, overseeing, and performing/providing oversight for proteomics studies supporting target ID/validation, MoA elucidation, biomarker discovery, and therapeutic optimization.
• Partnering closely with bioinformatics/data science to ensure robust QC, FAIR data practices, and decision‑ready analyses as well as to apply computational and AI-enabled approaches to proteomic data interpretation and decision support.
• Partnering across the multiomics organization to design integrated studies and interpret proteomic data alongside transcriptomic, genomic, and spatial readouts, delivering conclusions no single layer supports on its own.
• Translating sophisticated proteomics findings for non‑experts and governance forums; influence study design and portfolio strategy across biology, chemistry, biologics, safety, DMPK, and clinical translation.
• Shaping the platform's priorities and roadmap, balancing sustained portfolio delivery with investment in new capability.

Qualifications / Requirements:

Education:

• A Doctorate (in Analytical Chemistry, Biochemistry, Molecular Biology, Pharmacology or a related field) is required

Experience and Skills:

Required:

• 8+ years of hands‑on experience in a proteomics laboratory, including 4+ years in a drug discovery setting.
• Proven track record leading mass spectrometry operations (people, platforms, and processes) with measurable portfolio impact.
• Hands‑on proficiency with LC and MS platforms, including (examples, not exhaustive):
• LC: Waters ACQUITY/nanoACQUITY, Thermo Vanquish Neo, Evosep One, Dionex UltiMate 3000
• MS: Thermo Orbitrap Exploris, Orbitrap Eclipse, Orbitrap Fusion Lumos; Bruker timsTOF
• Proficiency in automated, plate-based proteomic workflows and a track record of partnering with automation and engineering specialists to implement and scale them (e.g., Beckman Biomek, Hamilton Microlab STAR, TECAN Fluent, Dynamic Devices Lynx).
• Strong program and portfolio coordination skills; ability to manage multiple priorities, set SLAs, and deliver on time.
• Familiarity with machine learning or AI-enabled approaches applied to mass spectrometry data (spectral prediction, DIA search, automated QC and analysis) and comfort partnering with experts to evaluate and adopt.
• Excellent interpersonal skills working with diverse colleagues and proven ability to translate complex technical issues into clear language for any audience from scientists to executives.

Preferred:

• Experience leading a shared platform, core, or centralized capability in a matrixed R&D organization.
• Demonstrated success operating within an established technical organization adopting and building on existing platforms, standards, and specialist expertise.
• Exposure to single‑cell proteomics, spatial proteomics, protein–protein interaction mapping, and/or limited‑sample workflows.
• Record of scientific innovation (publications, patents) and external visibility (ASMS, HUPO presentations)
• Knowledge of fit‑for‑purpose quality systems (e.g., GLP‑adjacent discovery practices), laboratory information management systems (LIMS), and FAIR data principles.

The expected base pay range for this position is $137,000 to $235,750.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

• Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
• Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits:
• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
• Caregiver Leave – 10 days
• Volunteer Leave – 4 days
• Military Spouse Time-Off – 80 hours

Additional information can be found through the link below.

For additional general information on Company benefits, please go to:

• https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

This job posting is anticipated to close on XX/XXXX. The Company may, however, extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs.

If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

#LI-Onsite

Required Skills:

 

 

Preferred Skills:

Big Data Management, Data Reporting, Data Savvy, Developing Others, Drug Discovery Development, Good Clinical Practice (GCP), Inclusive Leadership, Industry Analysis, Leadership, Molecular Diagnostics, Operational Excellence, Pharmaceutical Microbiology, Product Knowledge, Project Reporting, Scientific Research, Strategic Thinking, Sustainability, Team Management

 

 

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency: