Postdoctoral Fellow

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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.Postdoctoral fellow at Brigham and Women’s Hospital / Harvard Medical School (Artificial Intelligence/Machine Learning)**Job Summary**Application and inquiries should be submitted by e-mail to Dr. Kovacheva, vkovacheva@bwh.harvard.edu, with “Application for AI/ML postdoc position” in the subject line. Along with your CV, please include a cover letter describing previous research, research interests, and future goals. Please provide contact details for 3 references. About Our Lab We are an academic research lab operating with a startup mindset, specializing in developing innovative artificial intelligence and machine learning solutions directly integrated into clinical workflows through Epic EHR systems. Our team is dedicated to significantly improving maternal health outcomes through rigorous translational research, emphasizing creativity, rapid professional growth, and measurable real-world impact.**Qualifications****Application and inquiries should be submitted by e-mail to Dr. Kovacheva, vkovacheva@bwh.harvard.edu, with “Application for AI/ML postdoc position” in the subject line. Along with your CV, please include a cover letter describing previous research, research interests, and future goals. Please provide contact details for 3 references.****Position Description**A postdoctoral fellowship is immediately available in the research group led by Dr. Vesela Kovacheva in the Department of Anesthesiology at Harvard Medical School / Brigham and Women’s Hospital.We are seeking a highly motivated, collaborative individual passionate about developing predictive models that **enhance patient safety** and prevent adverse pregnancy outcomes. You will utilize multidimensional clinical datasets—including waveform signals (e.g., ECG, EEG), genetic data, and imaging—to create predictive algorithms targeting critical maternal outcomes such as hypertensive crises, hemodynamic instability, hemorrhage, and ICU admission. You will also contribute to developing NLP-based and time-series models and integrating these models directly into clinical practice.Our state-of-the-art data platform provides access to billions of clinical data points from over 300,000 patients, enabling **groundbreaking research with immediate translational potential**.You will be part of a diverse, multidisciplinary team of data scientists, clinicians, and researchers in a stimulating academic environment, with ample opportunities for collaboration across all Mass General Brigham hospitals, Harvard Medical School, the Program in Medical and Population Genetics at the Broad Institute, and industry partners.**Qualifications**Qualified candidates should have:- **Ph.D.** in a quantitative discipline such as data science, bioinformatics, computer science, biomedical engineering, or a related field (preferably completed within the last 3 years).- Strong programming skills in **Python**, with proficiency in deep learning frameworks (**PyTorch or TensorFlow**) and other data-processing libraries (**Polars)**- Demonstrated expertise in machine learning, deep learning, explainable AI (XAI), and analysis of time-series data.- Experience in medical imaging analysis with AI,- Familiarity with ultrasound image preprocessing, feature extraction, and multimodal data fusion using relevant libraries (**MONAI, ITK, OpenCV, scikit-image**).- Experience implementing AI interpretability methods (**SHAP, attention visualization, etc**).- Excellent oral and written communication skills, meticulous attention to detail, and strong professional integrity.**Additional Job Details (if applicable)****Remote Type**Onsite**Work Location**75 Francis Street**EEO Statement:**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.## **Mass General Brigham Competency Framework**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.Combat disease. Hold a hand. Help people. Impact the world.Mass General Brigham is a passionate, welcoming community where minds meet caring hearts.Our history includes New England hospitals founded over 200 years ago, some of the first and most prestigious hospitals in the world.Built on the legacy of two leading academic medical centers, we’re more than a system—we’re leaders in the practice of medicine. Mass General Brigham is committed to serving the community.We are dedicated to enhancing patient care, teaching and research, and taking a leadership role as an integrated health care system.We recognize that increasing value and continuously improving quality are essential to maintaining excellence.
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