Postdoctoral Fellow, Neuroscience Jobs in Edison at Hackensack Meridian Health

Overview

Our team members are the heart of what makes us better.

At Hackensack Meridian Health we help our patients live better, healthier lives — and we help one another to succeed. With a culture rooted in connection and collaboration, our employees are team members. Here, competitive benefits are just the beginning. It’s also about how we support one another and how we show up for our community.

Together, we keep getting better - advancing our mission to transform healthcare and serve as a leader of positive change.

A Postdoctoral Fellow with expertise in Neurosciences to assist our Neuroscience Faculty with their research efforts.

Responsibilities

A day in the life of a Postdoctoral Fellow, Neuroscince at Hackensack Meridian Health includes:

• Analysis and collecting data as well as organizing data in a useful format for publications. Responsible for publishing the study results and findings in peer-reviewed journals and for presentation at scientific meetings. Maintain research files and ensure participant confidentiality
• Responsible for the daily operations of the neurocognitive lab, which includes patient testing, quality control, equipment maintenance, and supply procurement. Responsible for establishing research paradigms and designs for all proposed research interests. Responsible for all related grant writing to support the funding of the Neurocognitive lab. Facilitate research collaboration with academicians inside and external to the Neuroscience Institute. Demonstrated experience with the Neuroscan 4.1 system.
• Isolation of DNA from blood samples of brain tissues from a research and control patient population. Application of PCR techniques to identify specific variants (SNP's) in a DNA sequence or genome. Generation of comprehensive research databases to include all collected data to differentiate between diseases versus health participants. Creation and development of a database of DNA samples that includes phenotype and genetic data. Use tools of bioinformatics to locate the sequence variants (SNP) related to complex disease such as stroke. To participate in ongoing continuing education programs and activities and to share acquired information with research faculty.
• Mentor research students and research assistants as directed by the Laboratory Director. Participate in ongoing continuing education programs and activities and share acquired information with research faculty.
• Order supplies and materials for the lab and to maintain critical PAR levels. Comply with all OSHA Chemical & BioHazzard Standards.
• Other duties and/or projects as assigned.
• Adheres to HMH Organizational competencies and standards of behavior.

Qualifications

Education, Knowledge, Skills and Abilities Required:

• Graduate of an accredited PhD or MBBS Program.
• Prior training in Neurosciences or a related discipline.
• Excellent written and verbal communication skills.
• Proficient computer skills that may include but are not limited to Microsoft Office and/or Google Suite platforms.

If you feel that the above description speaks directly to your strengths and capabilities, then please apply today!  

Compensation
Starting at $61,008.48 Annually

HMH is committed to pay equity and transparency for our team members. The posted rate of pay in this job posting is a reasonable good faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package.

The starting rate of pay is provided for informational purposes only and is not a guarantee of a specific offer. Posted hourly rates may be stated as an annual salary in the offer and posted annual salaries may be stated as an hourly rate in the offer, depending on the level and nature of the job duties and credentials of the candidate. The base compensation determined at the time of the offer may be different than the posted rate of pay based on a number of non-discriminatory factors, including but not limited to:

• Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness.
• Experience: Years of relevant work experience.
• Education and Certifications: Level of education attained, including specialized certifications, credentials, completed apprenticeship programs or advanced training.
• Skills: Demonstrated proficiency in relevant skills and competencies.
• Geographic Location: Cost of living and market rates for the specific location.
• Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the organization.
• Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered.