Data Science Business Development

Simone Celia Klein, MD

San Francisco, CA

******.*****.**@*****.*** 818-***-**** https://www.linkedin.com/in/simoneceliaklein

Summary:

•Versatile MD with a background that includes a UCSD MD and MIT bachelors (physics/bio) along with 7 years of experience working with EHR usability, sales/BD, medical informatics, teaching, big data, data analysis, AI, ML, and new medical technologies.

•Equally effective functioning as a business leader, while maintaining low-level, hands-on technical skills.

•Enjoys creative problem solving, critical thinking, and solving complex problems, especially those using real world data.

•Deep understanding of the clinical landscape, and can provide clinical expertise to strengthen a product in today’s market.

•Strong leadership, team building, interpersonal, communication, and relationship management skills. Enjoys working with others.

•Accustomed to working productively in fast-paced, high-energy work environments; worked for both startups and large organizations.

•Excels as a cross-functional, multi-disciplinary team translator to facilitate work between MDs, business development, sales, scientific/medical development, engineering, and data analytics.

•Has a passion for improving healthcare using innovative technology, and wants to work with companies to create the future of medicine.

Education:

EMBA, Quantic School of Business and Technology, March 2024 - May 2025

MD, University of California San Diego School of Medicine, July 2011 – June 2016

Recipient of NIH Summer Research Grant for summer 2012.

Independent Study Project: Klein, S. The Development and Testing of the Medical Decision-Making Program

Doknosis.org. Published on e-scholarship: http://escholarship.org/uc/ucsd.

BS Biology (7A) and Physics (8), Massachusetts Institute of Technology, Aug 2002 - June 2009

GPA: 4.5/5.0 overall, 5.0/5.0 in Biology.

Focus: Biochemistry of Immunology. Humanities Concentration: Economics.

Biology Thesis: Cellular Basis of Stevens Johnson Syndrome/Toxic Epidermal Necrolysis: A review of current literature.

Certificate in Data Science from MIT Executive Education, Oct 2021 - Jan 2022

Ranked 5th in class out of 117.

Learned data science tools in python.

Capstone Project: The use of Neural Networks for the Detection of Malaria Infected Cells.

Portfolio: https://eportfolio.mygreatlearning.com/simone-celia-klein-md

Experience:

Co-VP of Alpine for USCSA Southwest, Oct 2003 - Present

Ran ski and snowboard races for collegiate athletes in an official collegiate league

Set up timing, seeding, courses, and gatekeeping teams, as part of a new initiative to run races independently with little assistance from the host mountain.

Ensured safety of race courses by adhering to safety policies enacted by USCSA

Professional Sabbatical, 2020 - Present

CMO at Seer Health, a pre-seed startup

Project Lead and Moderator for New Frontiers of Psychedelic Medicine panel for MITCNC Future of Medicine 2021 event

Data science bootcamp with MIT Executive Education

Project Lead, New Frontiers of Psychedelic Medicine Panel for MITCNC Future of Medicine Event, 2020 - Jan 2021

Lead panel by organizing panelists and generating questions.

Moderated the panel in real time over zoom ensuring each speaker had sufficient screen time.

Healthcare Services at blinkpad, Mar 2020 - June 2020

Generation of Medical “Area of Interest” DAG, determining a taxonomy for medicine based on physician clinical training pathways.

Assisted in creation of the website and marketing.

Collaborated with founder to create the pitch deck and pitching to secure investors.

Resigned because they lost funding and couldn’t meet payroll, due to the pandemic.

Lead, Adverse Drug Reaction Database and Validation at the DH Lab at CalIT2 (UCSD), 2014 - 2020

Developed database of clinical information on symptoms and adverse drug reactions that was the foundation of our differential diagnosis program.

Outperformed other medical decision making programs on the market (DxPlain and Isabel) with my validation.

Generated data for abstract and published paper: Müller, L., Gangadharaiah, R., Klein, S. C., et al (2019). An open access medical knowledge base for community driven diagnostic decision support system development. BMC medical informatics and decision making, 19(1), 93. https://rdcu.be/byX6q

Strategic Alliances Manager at Global Data Plc, June 2019 – Feb 2020

Cold calling of leads and networking to generate new business for our Medical and Pharma Intelligence Centers.

Independently performed demos of the platform for interested clients.

Negotiation of new business contracts for Medical and Pharma Intelligence Centers.

Manager, Medical Affairs at Healthline, Aug 2018– Jan 2019

Steered clinical direction for Healthline Together Apps by creating personas for typical patient experiences, performing background research, and creating NPS surveys to assess user satisfaction.

Managed the MedIQ forum for Healthline editorial and marketing teams to ask clinical questions, providing evidence-based clinical answers and tracking themes for internal auditing.

Sourced medical images for design and streamlined the medical image design process.

Created clinical overviews for a variety of medical conditions for internal use within the company.

Ensured that Healthline maintain the highest level of medical integrity, medical accuracy, and up to date evidence-based advice for our patients.

Laid off due to reorganization.

Physician Epic Consultant at Detroit Medical Informatics, Oct 2017 - Aug 2018

Accelerated physicians return to previous productivity by teaching them Epic EHR in real time.

Ensured proper program functionality by identifying bugs in builds and presenting at nightly conference calls.

Worked independently in both inpatient and outpatient settings.

Analyst Intern Consultant at First Principles Advisory Group, June 2017

Extracted data from clinicaltrials.gov, to perform a competitive analysis of commercially available drugs (about 50) and in addition to those in research pipeline.

Determined the strengths and weaknesses of a new drug compared other available treatment modalities.

Created a PowerPoint presented to client to direct business strategy.

Surgical Intern at Rutgers New Jersey Medical School, July 2016 - Mar 2017

Directed over 50 medical students rotating through our service.

Medical care of floor patients, operating room procedures, bedside procedures.

I matched into an advanced program in anesthesia also at Rutgers NJMS.

Resident Scientist at www.thelatestwith.com, Aug 2010 - June 2011

Director/Host of my own live interactive science show on the online network www.thelatestwith.com.

I talked about issues in science/medicine/tech with our guests.

Sales Representative at ProSci Incorporated, Mar 2010 - Aug 2010

Increased catalog antibody sales, sold Custom Antibodies (non-therapeutic).

Created new marketing materials that were preferentially selected by targeted clients.

Increased booth traffic over 200% at trade shows and conferences, followed up on conference leads.

Science Teacher/Math Tutor at Emerson Academy under Sonia Roman, 2004 – Mar 2010 (Part time)

Taught K-12 science at a school for special needs students.

Developed curriculum and lesson plans for basic science (elementary students), physics (7-8 grade), and Biology (9-12 grade). Curriculum expectations were independently catered for each student.

Tutored students from other schools in homework gym and assisted math teacher when necessary.

Undergraduate Research Associate in the Chakraborty Lab at MIT, 2007 – 2008

Computed Gillespie (computational) Simulations of T cell activation (using the dimer model) using C and Stochastic Simulation Compiler (SSC).

Research Associate at the Ghez Lab at UCLA Astronomy, Summer 2002

Determined the constraints of the mass of the galactic center, a supermassive black hole (*SgrA), by fitting orbital elements.

Dr. Ghez won a Nobel Prize in physics for this work in 2020.

Skills:

Programming Languages: Python, C, C++, Stochastic Simulation Compiler (SSC).

Data Science/Analysis and Medical Informatics: Data Visualization (matplotlib, seaborn), Dimensionality Reduction (PCA, t-SNE), Clustering, Network Analysis, Linear Regression, Principle Component Regression, Cross-Validation, Bootstrapping, Classification, Linear Discriminate Analysis (LDA), Quadratic Discriminate Analysis (QDA), Support Vector Machines (SVM), Decision Trees, Pruning, Bagging, Time Series, Stationarity, Singular Variable Decomposition (SVD), neural networks (artificial, convolutional, map, data augmentation), Recommendation Systems, Scipy, Numpy, Pandas, sklearn, tensorflow, keras, surprise, Jupyter, Google Colab, AI, ML, Statistics, Electronic Health Records (including Epic), EHR UI/UX, clinicaltrials.org, Excel, Global Data Integrated databases, Microsoft Office Suite, clinicaltrials.gov, market evaluation.

Operating Systems: OSX, Microsoft Windows, Linux, Unix.

Clinical Medicine: General Medicine, Wilderness Medicine, Surgery, Neurosurgery, Emergency Medicine, Anesthesia, Ultrasound, LOINC, ICD-10, SNOMED, CT, X-Ray, BLS/ACLS, Clinical Communication, Publication Review, Medical Politics/Policy, HIPAA, Immunology, Pharmacology, Oncology, Laboratory Diagnostics, KOL communications, EHR functionality.

Media: Public Speaking, Adobe Illustrator, NPS Surveys, Customer Interviewing, App Development, teaching.

Entrepreneurship and Sales: Sales, Marketing, Networking, Negotiation, Cold Calling.

Contact this candidate