<p>Site: The Brigham and Women's Hospital, Inc.</p> <p>Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p> <p>Job Summary</p> <p>The Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School are seeking applicants for a Bioinstatistician position to contribute to epidemiological studies led by Associate Professor Jessica Lasky-Su, in the Massachusetts General Brigham Biobank (MGBB). Utilising Electronic Health Records (EHR) and multi-OMIC data, these longitudinal studies aim to understand, prevent and treat incidence of chronic diseases and ageing.</p> <p>Working closely with Dr. Lasky-Su, the Biostatistician will be responsible for harnessing EHR data to develop predictive models, in addition to integrating multi-omic data (genomics, epigenetics, proteomics, transcriptomics, metabolomics), using advanced computational techniques such as deep learning and natural language processing (NLP). The candidate is expected to have a high level of technical expertise with big-data analyses.</p> <p>The Channing Division of Network Medicine represents a diverse and highly collaborative research community that is focused on deciphering the etiology of complex diseases. The lab benefits from active collaborations with computational, biostatistical, and networking experts. We also work with state-of-the-art laboratories for the generation of 'omics' data and have established bioinformatic pipelines for cleaning and preparing data for analysis. The Biostatistician will primarily be working on the statistical analysis and scientific write up of projects based on cohorts from the MGBB, which in addition to EHR data, will have a wealth of multi-omic data and cover lifestyle, behavior, dietary and environmental risk factors. These outstanding resources offer the potential for a high-quality candidate to address scientific questions of interest and to develop their research career in a vibrant environment. We are seeking highly motivated and analytically-capable applicants who have a strong interest in progressing the field through impactful science.</p> <p>Qualifications</p> <p>Education</p> <p>Master's Degree Biostatistics required or Master's Degree Related Field of Study required</p> <p>Can this role accept experience in lieu of a degree?</p> <p>No</p> <p>Licenses and Credentials</p> <p>Experience</p> <p>Experience as a biostatistician or data analyst 1-2 years preferred</p> <p>Knowledge, Skills and Abilities</p> <ul> <li>High degree of computer literacy. </li><li>Sound analytical and organizational skills. </li><li>Requires excellent oral and written communication skills. </li><li>Must be able to logically and effectively structure tasks and set priorities. </li><li>Ability to identify problems and troubleshoot solutions. </li><li>Demonstrated ability to analyze data statistically and to logically present it. </li></ul> <p>Additional Job Details (if applicable)</p> <p>Physical Requirements</p> <ul> <li>Standing Occasionally (3-33%) </li><li>Walking Occasionally (3-33%) </li><li>Sitting Constantly (67-100%) </li><li>Lifting Occasionally (3-33%) 20lbs - 35lbs </li><li>Carrying Occasionally (3-33%) 20lbs - 35lbs </li><li>Pushing Rarely (Less than 2%) </li><li>Pulling Rarely (Less than 2%) </li><li>Climbing Rarely (Less than 2%) </li><li>Balancing Occasionally (3-33%) </li><li>Stooping Occasionally (3-33%) </li><li>Kneeling Rarely (Less than 2%) </li><li>Crouching Rarely (Less than 2%) </li><li>Crawling Rarely (Less than 2%) </li><li>Reaching Occasionally (3-33%) </li><li>Gross Manipulation (Handling) Constantly (67-100%) </li><li>Fine Manipulation (Fingering) Frequently (34-66%) </li><li>Feeling Constantly (67-100%) </li><li>Foot Use Rarely (Less than 2%) </li><li>Vision - Far Constantly (67-100%) </li><li>Vision - Near Constantly (67-100%) </li><li>Talking Constantly (67-100%) </li><li>Hearing Constantly (67-100%) </li></ul> <p>Remote Type</p> <p>Hybrid</p> <p>Work Location</p> <p>181 Longwood Avenue</p> <p>Scheduled Weekly Hours</p> <p>40</p> <p>Employee Type</p> <p>Regular</p> <p>Work Shift</p> <p>Day (United States of America)</p> <p>EEO Statement:</p> <p>The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.</p> <p>Mass General Brigham Competency Framework</p> <p>At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p>