Postdoctoral Research Fellow, CDI

Hackensack Meridian Health Inc.; Nutley (NJ); On-site; USD 60,000 - 75,000; Full time

Job summary

Hackensack Meridian Health Inc. is seeking a Postdoctoral Research Fellow to join the Center for Discovery and Innovation (CDI) in Nutley, NJ.

This role focuses on antiviral drug discovery, including work with BSL2/3 viruses, under the supervision of Nadine Alvarez, PhD, Supervisor Research Assistant Member Infectious Diseases. The successful candidate will design and execute in vitro assays, handle relevant pathogens, and contribute to multidisciplinary teams while producing high-quality

Qualifications

• Ph.D. in a scientific or related discipline.
• First-author publication in a peer-reviewed journal or in preparation.
• Excellent written and verbal communication skills.
• Ability to work independently and in a multidisciplinary team.
• Proficient computer skills including MS Office and Google Suite.

Responsibilities

• Design, plan, and execute in vitro experiments independently and collaboratively to support the project's primary objectives.
• Perform low- to high-throughput screening of compounds using established experimental protocols.
• Collect, analyze, and interpret experimental data using appropriate statistical methods.
• Prepare and present technical reports, and maintain accurate, up-to-date project documentation and master files.

Skills

Excellent written and verbal skills

Strong problem solving

Independent research ability

Team collaboration

Computational proficiency (MS Office &

Education

Ph.D. in scientific or related discipline

First-author publication in peer-reviewed journal

Job description

The Center for Discovery and Innovation- CDI was established by Hackensack Meridian Health (HMH) as an academic basic and translational research enterprise to rapidly translate science innovation to the clinic and to improve outcomes for patients with cancer, infectious diseases, autoimmune disease and other acute and chronic diseases. The CDI has grown rapidly since its origins in 2019, and now has 39 labs, 200+ scientists and allied personnel supported by 78 NIH and DoD grants and more than 87 other grants and contracts. Areas of expertise include genomics, epigenetics, drug resistance, stem cell biology, drug discovery, diagnostics and biomarker development, rheumatology and pharmacology.

This Postdoctoral Research Fellow position relates to a lab project that includes (but is not limited to) drug discovery to identify lead candidates for antiviral programs. The work will require handling BSL2 and BSL3 viruses such as SARS-CoV-2, Bunyavirus and additional respiratory viruses. Direct report is to Nadine Alvarez, PhD, Supervisor Research Assistant Member Infectious Diseases. The candidate should have skills including hands-on expertise with cell line culture and in vitro assays for evaluating antiviral activity (such as TCID50 and plaque assays), and the ability to work both independently with minimal supervision and collaboratively within a multidisciplinary team. The main responsibilities are:

• Design, plan, and execute in vitro experiments independently and collaboratively to support the project's primary objectives;
• Perform low- to high-throughput screening of compounds using established experimental protocols
• Collect, analyze, and interpret experimental data using appropriate statistical methods
• Prepare and present technical reports, and maintain accurate, up-to-date project documentation and master files

Education, Knowledge, Skills and Abilities Required:

• A Ph.D. degree in scientific or related discipline.
• Minimum publication or in preparation of one article as first author in a reputable peer-reviewed journal.
• Excellent written and verbal skills
• Good problem solving skills.
• Ability to conduct independent research.
• Ability to work effectively in a team.
• Lab specific techniques. (Varies by lab)
• Proficient computer skills including but not limited to Microsoft Office and Google Suite platforms.

Education, Knowledge, Skills and Abilities Preferred:

• Lab Specific.