Title: MSL/Sr. MSL, Lung Solid Tumor (Southern California and Las Vegas, NV) Location: Southern California and Las Vegas, NV Employees can work remotely Full-time Salary Min: 124500 Salary Max: 236500 Workday Global Grade: 19 Compensation: USD 124,500 - USD 236,500 - yearly Job Description: Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. Purpose The Medical Science Liaison (MSL) is a field based scientific expert that strategically supports the research and business objectives of a designated therapeutic area across the product life cycle. MSLs are the primary communicators of AbbVie science within a specific geography with healthcare professionals. MSLs are the field scientific experts on given disease states and treatment options within a designated therapeutic area. They combine strong business acumen, clinical expertise, market awareness, and serve as a conduit of information both externally and internally to a cross functional customer base internally within AbbVie. Based on therapeutic needs and product life cycles, teams may focus on certain responsibilities to a greater or lesser degree, including clinical development and pipeline support. Responsibilities This role is considered remote but requires the employee to work within a reasonable distance from the primary cities. - Supports research initiatives across development at the request of R&D to include, but not limited to, site evaluation and identification, recruitment, investigator meetings, external expert identification, and external collaboration management. - Identifies, gains access to, and develops professional relationships with external experts (EEs) in therapeutic areas within assigned geography. - Routinely communicates field insights to internal business partners. Provides education relative to disease state and AbbVie products across the product lifecycle to healthcare providers and researchers. - Continually educates self on market issues/trends and product knowledge as it pertains to specific business responsibilities in key therapeutic areas. - Works with in-field teams to develop and execute a territory plan designed to support and meet shared business objectives. Inputs and maintains internal database as it relates to HCP interactions in respective geography. - Marketplace preparation in new therapeutic areas of interest, which includes creating awareness and relationships for AbbVie in the Medical community. - Serves as a scientific resource to commercial partners as appropriate to support activities such as Medical Congress staffing, Advisory Boards, and training initiatives. - Efficient and responsible use of resources, including financial decisions. - The MSL is accountable for providing and supporting clinical information needs within an assigned geography and supporting the MSL team and corporate needs by meeting targeted goals relevant to specific EEs MSLs provide support for strategic clinical initiatives, executes a territory business plan and team tactical plan supporting business needs, meets assigned project deadlines, and achieves annual functional goals. - Responsible for compliance with applicable Corporate and Divisional Policies and Procedure. Qualifications Advanced degree required (i.e. Pharm D, MD/DO, PhD, PA or NP, BSN) in a relevant scientific discipline. Doctorate strongly preferred in a health science or clinical discipline. Significant industry experience in relevant therapeutic area may be accepted in lieu of education requirements. - Greater than or equal to 2 years of clinical, scientific/research, or industry related experience or equivalent required. - Lung Solid Tumor Experience preferred. - Previous pharmaceutical industry experience within relevant scientific discipline preferred. - The MSL must possess advanced problem solving and analytic skills to be able to identify, and translate specific territory and corporate needs, into an action that will achieve objectives. - Must be willing to travel up to 75% of the time. - An essential requirement of your position is to meet health care industry representative (HCIR) credentialing requirements to gain entry into facilities and organizations that are in your assigned territory. These HCIR credentialing requirements may include, but are not limited to, background checks, drug screens, and proof of immunization/vaccination for various diseases. The candidate must live in the territory or willing to self-relocate within the territory. The majority of the territory includes (Southern California and Las Vegas NV). Job grade, level, and title will be determined by the selected candidate's credentials, education, and experience. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: - The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. - We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. - This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

• Conduct coverage reviews using critical thinking and clinical expertise. • Interpret benefit language and policies to guide clinical coverage determinations. • Document clinical review findings and outcomes in compliance with organizational standards. • Engage in peer-to-peer consultations with prescribing providers. • Collaborate and communicate effectively with fellow Medical Directors. • Schedule 40 hours per week, either 5 shifts of 8 hours or 4 shifts of 10 hours.

Role Description The gBDS / Med Data/AI, Boehringer Ingelheim is seeking a Postdoctoral Research Fellow to help advance the development of robust clinical trial simulation tools aimed at improving the probability of success for clinical trials by integrating multimodal datasets. This is an applied research and implementation role—focused on evaluating rigorous statistical methodology from the research stage into confirmatory, pivotal clinical studies. It is an exceptional opportunity for candidates looking to bridge academia and industry from a clinical statistical research perspective, working at the intersection of methodological rigor and real-world drug development impact. The fellow will focus on identifying, integrating, and applying fit-for-purpose methods and data to inform trial design and execution decisions—supporting faster, more reliable studies through improved feasibility assessment, operational risk forecasting, and robust inference under real-world trial constraints. This research role emphasizes reproducible methods, transparent assumptions, and publication-quality statistical work that can be translated into practical tools used by clinical development teams. The ideal candidate is self-driven and motivated—someone who works independently and takes initiative, while benefiting from scientific guidance and a collaborative team environment. Duties & Responsibilities - Integrate multimodal data sources across trial operations and clinical outcomes to parameterize and calibrate simulations (internal trial data + operational metrics + external benchmarks where appropriate). - Evaluate and validate clinical trial simulation frameworks that quantify how operational and clinical factors (e.g., recruitment pace, dropout, missing data, site heterogeneity, nonadherence, endpoint variability, protocol deviations) impact probability of success. - Build simulation models incorporating relevant data sources (clinical trial, real world evidence) for scenario basis planning, and integration via simulation. - Build scenario engines for trial execution planning (e.g., “what-if” analyses on site mix, monitoring intensity, recruitment strategies, data cleaning rules, visit schedules, or enrichment approaches) and translate results into actionable decision support. - Implement and compare statistical methods relevant to trial robustness under execution realities, including: - missing data mechanisms and sensitivity analyses (MAR/MNAR), - Bayesian models (meta analytic, hierarchical, etc.), - intercurrent events and estimands-aligned strategies, - site-level/random effects and cluster heterogeneity, - treatment effect attenuation due to nonadherence, - informative dropout and time-varying covariates. - Conduct simulation studies to evaluate design choices (sample size, randomization schemes, interim decision rules, adaptive elements, endpoint definitions) and make predictions using performance metrics such as power, type I error, bias, estimation bias, predictive probabilities, and other operating characteristics. - Create reusable, reproducible simulation pipelines (R/Python) for simulation, diagnostics, and reporting—version-controlled, well-tested, and well-documented for long-term sustainability. - Communicate results clearly to cross-functional stakeholders (biostatistics, clinical operations, clinical development, data science) via manuscripts, conference abstracts, internal whitepapers, and presentations. Qualifications - Ph.D. in Biostatistics or Statistics (or closely related quantitative discipline) from an accredited institution, awarded prior to start date. - Strong foundation in clinical trial methodology and inference (e.g., GLMs, mixed models, survival analysis, longitudinal models, causal/estimand thinking, multiplicity basics, Bayesian experience). - Demonstrated ability to program in R and/or Python for statistical modeling and simulation; experience with reproducible workflows (Git, unit testing, code review, literate reporting such as Quarto/RMarkdown/Jupyter) preferred. - Familiarity with Monte Carlo simulation, power/operating characteristic evaluation, and principled model checking/validation. - Interest or experience working with multimodal trial data including operational metrics (site performance, enrollment curves, deviations) and clinical outcomes data; experience with real-world or observational health data is a plus but not required. - Ability to work in a highly collaborative environment and communicate statistical results to non-statistical stakeholders with clarity and pragmatism. - Demonstrated capacity to work independently, manage your own research agenda, and roll forward on problems without waiting for constant direction—proactive initiative is a key expectation of this role. Eligibility Requirements - Must be legally authorized to work in the United States without restriction. - Must be willing to take a drug test and post-offer physical (if required). - Must be 18 years of age or older. Application Requirements - Curriculum vitae - Letter of intent - focusing on how a fellowship at Boehringer Ingelheim can help further your career growth. *Please upload under My Documents, Additional Attachments. Compensation This position offers a base salary of $80,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. Duration Two years Location Remote (within US)

Role Description The gBDS /Med Data/AI -- Boehringer Ingelheim is seeking a postdoctoral research fellow to help leverage scientifically rigorous digital health technologies that accelerate clinical development across therapeutic areas. The fellow will drive innovation in digital endpoints, remote monitoring technologies, and multimodal data analytics to enhance multiple facets of clinical trials: - Identifying and recruiting suitable patients - Capturing meaningful real-world outcomes such as quality of life, functional capacity, and disease progression This research-focused role emphasizes translating digital health innovations into deployable solutions that improve trial outcomes by better understanding patients’ journeys in the real-world setting. Work will be anchored in Boehringer Ingelheim’s core therapeutic areas — e.g. respiratory, cardiovascular-renal-metabolic, oncology, CNS — with digital measures selected/evaluated in the context of clinically meaningful endpoints for those disease areas. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees. Duties & Responsibilities - Under supervisor/s guidance, lead research focused on evaluating, testing, and deploying digital health technologies (wearables, sensors, smartphone apps, patient-reported outcomes) to accelerate clinical development as well as manuscript preparation and submissions. - Conduct statistical analysis of multimodal real-world behavioral data to assess associations with key clinical outcomes of interest (e.g., treatment response, disease progression, adherence, data quality, patient phenotypes/stratification, digital endpoint validation, quality of life). - Proactively design and lead the development of reusable, reproducible data analysis pipelines for extracting quality metrics, features, and validated digital endpoints from multimodal clinical trial data. - Design and execute validation studies to establish the scientific rigor, reliability, and clinical meaningfulness of digital health measures for trial use (e.g., patient identification/screening, enrollment optimization, quality-of-life assessment, functional outcomes). - Collaborate with interdisciplinary and cross-functional teams (clinical development, biostatistics, data science, clinical operations, regulatory affairs) to communicate and present research findings through presentations and scientific reports. Qualifications - Ph.D. from an accredited institution earned before the start date at Boehringer Ingelheim. Preferred degree in a quantitative field such as biomedical engineering, statistics, computer science, electrical engineering, data science, or a related discipline. - Demonstrable proficiency in at least one scripting language (Python or R preferred) and experience writing reusable, version-controlled (Git), and well-documented code. - Demonstrated scientific experience in digital health research as evidenced by publications, presentations, or successful digital health project implementations. - Strong background in applied data science, signal processing, time-series analysis, and machine learning/statistics, preferably in healthcare or clinical research domains. - Experience analyzing temporal health-related data from digital health applications, wearable/smartphone sensors (e.g., accelerometer, activity, sleep, voice or other physiological/behavioral measures) is strongly preferred. - Familiarity with clinical outcome assessment (COA) frameworks and patient-centered measurement, including PRO, ClinRO, ObsRO, and PerfO categories; experience with ePRO/eCOA instruments or FDA PRO Guidance concepts is a plus. - Excellent interpersonal, communication, and presentation skills with the ability to work effectively in a dynamic, collaborative, and cross-functional environment. - Working knowledge of regulatory frameworks relevant to digital health technologies, including FDA DHT/SaMD guidance, ICH E6 (GCP), and digital endpoint evidentiary standards (e.g., V3+, BEST Resource, DDT qualification pathway); is a plus. Requirements - Must be legally authorized to work in the United States without restriction. - Must be willing to take a drug test and post-offer physical (if required). - Must be 18 years of age or older. Benefits - Compensation: This position offers a base salary of $80,000. The position may be eligible for a role-specific variable or performance-based bonus and/or other compensation elements. - Duration: Two years. - Location: Remote (within US).