Smoller Lab at PNGU
Careers
Clinical Research Coordinator
The Center for Precision Psychiatry is a new and dynamic interdisciplinary center that integrates research, clinical implementation, education and training to advance the emerging field of precision psychiatry. Precision psychiatry aims to identify and leverage individual differences in biology, lifestyle, environment, and the social determinants of health to improve the prevention, diagnosis and treatment of mental health conditions. Please note, the functions below are representative of major duties that are typically associated with these positions. Specific responsibilities may vary based upon departmental needs. Similarly, not all duties that have been outlined will be assigned to each position.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Collects & organizes patient data
- Maintains records and databases
- Uses software programs to generate graphs and reports
- Assists with recruiting patients for clinical trials
- Obtains patient study data from medical records, physicians, etc.
- Conducts library searches
- Verifies accuracy of study forms
- Updates study forms per protocol
- Documents patient visits and procedures
- Assists with regulatory binders and QA/QC procedures
- Assists with interviewing study subjects
- Administers and scores questionnaires
- Provides basic explanation of study and in some cases obtains informed consent from subjects
- Performs study procedures, which may include phlebotomy.
- Assists with study regulatory submissions
- Writes consent forms
- Verifies subject inclusion/exclusion criteria
- Performs administrative support duties as required
A Clinical Research Coordinator II performs the duties of a Clinical Research Coordinator I (above) and may also:
- Maintain research data, patient fields, regulatory binders and study databases
- Perform data analysis and QA/QC data checks
- Organize and interpret data
- Develop and implement recruitment strategies
- Act as a study resource for patient and family
- Monitor and evaluation lab and procedure data
- Evaluate study questionnaires
- Contribute to protocol recommendations
- Assist with preparation of annual review
- May assist PI to prepare complete study report
- Careful attention to details
- Good organizational skills
- Ability to follow directions
- Good communication skills
- Computer literacy
- Working knowledge of clinical research protocols
- Ability to demonstrate respect and professionalism for subjects’ rights and individual needs
- The Clinical Research Coordinator II should also possess:
- Ability to work independently and as a team player
- Analytical skills and ability to resolve technical problems
- Ability to interpret acceptability of data results
- Working knowledge of data management program
EDUCATION:
- Bachelor’s degree required.
EXPERIENCE:
- New graduates with some relevant course/project work or those without any prior research experience will be considered for the Clinical Research Coordinator I position outlined above.
- Those with a minimum of 1-2 years of directly related work experience will be considered for a Clinical Research Coordinator II position.
SUPERVISORY RESPONSIBILITY (if applicable):
- A Clinical Research Coordinator I does not have any supervisory responsibility.
- A Clinical Research Coordinator II may assist with the training and orientation of new staff members.
How to apply:
Please submit an application by following this link.
Senior Data Analyst
We are seeking a highly motivated data analyst to join the Precision Prevention Program (P3) within the Center for Precision Psychiatry (CPP) at Massachusetts General Hospital (MGH). The ideal candidate will have advanced knowledge of statistical methods, strong programming skills in R and Python, and an interest in deriving insights from complex data to answer clinically relevant questions in psychiatry. The candidate will work closely with PIs to conduct analyses and build reproducible analytic pipelines for a variety of scientific projects focused on predicting resilience to depression and other stress-related conditions such as PTSD using advanced statistical and machine learning methods. The candidate will have the opportunity to work with a wealth of large-scale datasets in adults and young people including electronic health records, genomics, and longitudinal survey cohort databases (demonstrated prior experience with such databases will be favored). The candidate can expect strong mentorship and will interact closely with faculty and trainees in the CPP and collaborators at MGH/Harvard, as well as international consortia teams.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Perform data cleaning, linkage, and processing of large-scale datasets including electronic health records, genomics, and longitudinal survey cohort data
- Execute and build reproducible statistical and machine learning analytic pipelines, including the development and validation of phenotyping and/or prediction algorithms
- Identify, propose, and conduct appropriate statistical tests to address research hypotheses
- Assist in data interpretation, reporting, and visualization
- Work with experts to implement natural language processing methods for clinical text data
- Conduct applied statistical genetics analyses (e.g., polygenic scoring, genome-wide association)
- Perform quality control, data security procedures, and data audits for all research data
- Work with supervisor(s) and team regularly to formulate work plans to ensure that critical project requirements, timelines, and deliverables are met
- Contribute to study protocols and scientific publications
- Fluent computer programming in R and/or Python
- Experience with large database management, cleaning, and pre-processing (familiarity with electronic health records data a plus)
- Extensive data science experience, including experience with statistical and machine learning approaches (familiarity with natural language processing and/or deep learning a plus)
- Advanced knowledge of statistical analysis approaches (e.g., linear, logistic, and regularized regression; longitudinal analyses; handling of missing data)
- Ability to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment
- Ability to learn and apply new data science techniques
- Strong problem-solving and critical thinking skills
- Strong written and verbal communication skills
- Excellent quantitative skills and attention to detail
- Excellent organizational skills and ability to multi-task effectively
- Preferred: Expertise in statistical genetics analyses (e.g., GWAS, MR, GenomicSEM)
- Preferred: Interest in mental health and psychiatric epidemiology
EDUCATION:
- MA degree required in related field (e.g., biostatistics, epidemiology, data science, informatics)
EXPERIENCE:
- 2-5 years of experience in managing complex data required
WORKING CONDITIONS:
- Simches Research Building
- Flexible work from home options available
How to apply:
Please submit an application by following this link.
