4 jobs found

The Lab @ DC is seeking a Senior Data Scientist who can use their expertise in machine learning and causal inference to make a positive, lasting difference for DC residents. Join our team of Social Scientists, Data Scientists, and Operations Analysts at the forefront of evidence-based policy. Working within the Executive Office of the Mayor of the District of Columbia, you will use insights from large administrative datasets to affect a variety of policy decisions in areas like  public safety ,  economic prosperity ,  housing and homelessness ,  public health , and  education . The Lab has the relationships and access to data in each of these policy areas to support this important work. As Senior Data Scientist, you will conduct original work and lead a small team of Data Scientists working towards shared goals for the District.Your contributions will directly inform decisions at the highest levels of DC government and allow you to see your impact on DC residents. What we’re looking for in a candidate: A drive to use skills in programming, statistics, and scientific communication to make a positive difference in DC residents’ lives, particularly for historically disadvantaged populations. Expertise in creatively determining which analytic approaches and computing techniques are most appropriate for a given dataset and policy or program need. At least a Master’s degree in computer science, data science, economics, statistics, mathematics, or other quantitative field. Expertise using R or Python (ideally, both) for descriptive statistics, predictive analytics, machine learning, causal inference, and other scientific methods to learn about and derive insights from the relationships within complex datasets. Experience accessing data through a variety of methods including APIs, SQL databases, SSH/SFTP. A plus for experience designing and building data infrastructure needs. Experience managing projects, including timelines and stakeholder conversations. A leader who can push both their team and data science in DC government forward. What’s in it for you: The opportunity to contribute to key policy and budgetary decisions. Skills to influence how policies and programs are designed across a range of important issues. The ability to shape the strategic direction for data science across DC government. Experience at the forefront of applied machine learning, data engineering, and field experiments. Use large record-level datasets - sometimes going back decades - from a city, county, and state (DC functions as all three) for the public good. Collaborating day-to-day with a tight-knit interdisciplinary team of nerds with a passion for public service. Publications (from tweet storms and blog posts to press and peer-reviewed journals). Presentations at academic, government, and industry conferences. You’ll submit your application through DCHR’s website. Here are some tips we recommend. Go to  careers.dc.gov  and Search for job ID “9134.” The position is located in the Office of the City Administrator. You will need to create a login, but after that you can save and return to your application at any time. In Step 6 “Education and Work Experience,” you need to complete only the “Work Experience” Section. We’ll get everything else from the Resume/CV you upload in Step 2. Please do not submit a cover letter or any supplemental materials (we don’t plan to read them). Please don’t hesitate to email  the.lab@dc.gov  if you have any questions or issues — we’re happy to troubleshoot. Apply by December 13  

T-32 POST-DOCTORAL POSITION IN DEVELOPMENTAL PSYCHOPATHOLOGY AT THE UNIVERSITY OF PITTSBURGH, SCHOOL OF MEDICINE, DEPARTMENT OF PSYCHIATRY: This position provides exposure to ongoing experimental research, focused on how maladaptive emotion regulation and its underlying autonomic psychophysiology impact on the onset, maintenance, recurrence, and other outcomes of depressive disorders. One of our projects uses a behavioral-economic model of decision making to study its association with emotion regulatory processes in samples at high- and low-risk for depression. Another study investigates daily emotion regulation behavior (EMA), laboratory based regulation, and attention processes among young adults at high- and low-risk for depression.  Supporting the current work is a unique, multi-level, longitudinal developmental psychopathology and experimental data base (including clinical, psychiatric, epidemiologic, psychophysiological, and self-rated variables) across the life span on several samples, focusing on risk for juvenile-onset depressive and mood disorders and their life-long impact on emotional and physical health. Post-doc training includes broad spectrum Psychiatry Department seminars, access to experts in various areas, developing a working knowledge of cardiac psychophysiology (autonomic nervous system processes) and its assessment, interfacing with other T32 trainees, and improving scientific and grant writing skills under the close mentorship of the Principal Investigator. The successful applicant will be expected to play an active and leading role in data analyses and publications. He/she also will share responsibility for coordinating ongoing studies, and if qualified, conduct some research clinical interviews with adults focused on DSM diagnoses. If appropriate, the trainee can receive clinical supervision that can be used toward licensing. Duties may include additional tasks across multiple projects. Requirements are: a doctorate in developmental psychopathology or clinical psychology or related field, 3+ years of research exposure, preferably to psychophysiological assessments and standardized clinical diagnostic procedures, and familiarity with the developmental, clinical, and experimental literature on depression. Excellent communication, problem-solving, time management, and writing skills are essential. A multi-year commitment is expected. Qualified candidates (USA citizens, green card holders) may submit their CV and three (3) letters of recommendation via email: to kovacs@pitt.edu or by regular mail to Dr. Maria Kovacs, Childhood Depression Research Program, 3811 O’Hara Street, Pittsburgh, PA  15213. Applicants will be considered until the position is filled. The University of Pittsburgh is an Affirmative-Action and Equal Opportunity employer. (Nov.2019)  

The OCD and Related Disorders Program at Massachusetts General Hospital (MGH) and Harvard Medical School ( https://mghocd.org/ ), directed by Sabine Wilhelm, PhD, is seeking applicants for a full-time, 1-year postdoctoral fellowship focused on development and testing of technology-based interventions for a range of psychiatric conditions. The likely start date for this position is July 1, 2020. The MGH OCD and Related Disorders Program is a large, multidisciplinary clinical and research program within the vibrant Department of Psychiatry. Our program is comprised of psychologists, psychiatrists, pre-doctoral interns, postdoctoral fellows, post-bac research assistants, biostatisticians, undergraduate volunteers, and administrators. Through treatment studies and outpatient hospital visits, we treat hundreds of patients annually with obsessive-compulsive disorder, body dysmorphic disorder, body-focused repetitive behavior disorders, Tourette syndrome and chronic tic disorders, and related conditions. We also have a wide portfolio of ongoing research studies that are supported by NIH, foundation grants, industry sponsors, and private donors. Much of our ongoing research is focused on the development and testing of CBT treatments and understanding predictors and mechanisms of treatment response. The postdoctoral fellow would be involved in a range of research activities within the program, which may include directing or co-directing industry-funded projects related to development and testing of novel digital CBT interventions for a range of psychiatric conditions, conducting clinical assessments in the context of randomized controlled trials, and supervising research assistants. The candidate would also join program-wide clinic and research meetings. The MGH OCD Program has an excellent track record in mentorship, and the candidate would receive research supervision and mentorship. Depending on the interest of the candidate, this position could also involve providing psychotherapy to hospital adult outpatients with OCD and related disorders under clinical supervision, to obtain hours required for clinical licensure. Candidates will have an appointment at Harvard Medical School and should have a PhD or PsyD in clinical psychology by the position start date. Candidates should have strong training in evidence-based treatments for psychiatric illnesses, including cognitive behavioral therapy and exposure with response prevention, completion of an APA-accredited internship by the position start date, and evidence of strong research training, as demonstrated by their CV. This position is for 1 year, with the possibility of renewal for a second year. Interested applicants should submit a CV, cover letter, and contact information for 3 references to Barbara Rosemberg, M.H.A. at brosemberg@mgh.harvard.edu . We are an Equal Opportunity/Affirmative Action Employer.