Role Description - Develop and review Statistical Analysis Plans (SAPs), including analysis dataset and TLG specifications. - Perform statistical analyses and prepare clinical study reports, including integrated summaries for regulatory submissions. - Participate in study design discussions, sample size calculations, and protocol development. - Review CRFs, data review guidelines, edit check specifications, and data validation plans. - Use SAS programming daily for QC of critical outputs, efficacy/safety tables, and collaboration with statistical programmers. - Ensure compliance with CDISC requirements (SDTM, ADaM) for regulatory submissions. - Collaborate with internal and external functions (CROs, software vendors, clinical development partners). - Review and/or author data transfer specifications and SOPs related to statistical programming practices. - Present and explain statistical methodology clearly to non-statistician stakeholders. Qualifications - Master's degree minimum in Statistics, Mathematics, or Applied Mathematics — PhD strongly preferred. - 5+ years supporting clinical trials in pharma, biotech, or CRO — commercial experience required. - At least 3 years in a commercial clinical trials environment (pharma/biotech/CRO) — hospital or academia-only backgrounds will not be considered. - Strong SAS programming skills — used daily for QC, efficacy/safety tables, and programmer collaboration. - Solid CDISC expertise (SDTM, ADaM) for regulatory submissions. - Experience with SAP development, TFL programming, and integrated summaries for FDA submissions. - Strong English communication skills — written and verbal. Requirements - CRO experience (strongly desired). - Oncology therapeutic area experience. - R programming knowledge. - PK/PD modeling or biomarker integration experience. - PhD in Statistics or related field.

Principal Data Scientist Location: You will have the flexibility to work fully remote from anywhere across the United States. Insight at a Glance - 14,000+ engaged teammates globally - #20 on Fortune’s World's Best Workplaces™ list - $9.2 billion in revenue - Received 35+ industry and partner awards in the past year - $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. By unlocking the power of people and technology, we accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions. About the Role As a Principal Data Scientist, you will lead the alignment of business challenges with the most effective data science and machine learning solutions, ensuring a tailored fit between client needs and technical approaches across diverse industries and stakeholder groups. We will count on you to collaborate closely with multiple client stakeholders—including technical and non-technical audiences—to clarify objectives, iterate on requirements, and ensure solutions deliver measurable business value. Along the way, you will get to: - Lead strategic solution design for data science and machine learning projects - Drive projects through all phases of the data science lifecycle, from data discovery to deployment and feedback - Architect and implement scalable data science and ML solutions using Google Cloud Platform (GCP), including Vertex AI, and leverage modern data engineering tools such as dbt and Databricks - Mentor team members, promote best practices, and foster a culture of innovation and continuous learning Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. What We’re Looking For - Advanced degree (PhD or MS) in Operations Research, Industrial Engineering, Applied Mathematics, or related field - Strong foundation in optimization algorithms, stochastic modeling, and systems analysis - Proficiency in Python and various ML and simulation libraries (TensorFlow, PyTorch, Scikit-learn) - Experience with Google Cloud Platform services including Vertex AI, BigQuery, and AI Platform, or equivalent experience in Azure/AWS - Experience with healthcare data, clinical research protocols, and regulatory compliance What You Can Expect We’re legendary for taking care of you, your family, and helping you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year - Access to 11 thriving and diverse Teammate Resource Groups But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match—we still want to hear from you! Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. As a Sr. Data Scientist, you aren’t just building models; you’re an architect of decision-making. You possess a battle-tested understanding of both patterns and anti-patterns, navigating the "why" behind the data to drive our automated debt collection strategy forward. We’re looking for someone with an extreme ownership mindset who can identify tech debt, predict where code might break before it does, and mentor the next generation of data experts. You’ll be the go-to expert for critical portions of our codebase, translating complex business requirements into high-impact technical reality. Work-Life Benefits - Unlimited PTO - Medical benefit contributions in congruence with local laws and type of employment agreement What You'll Do: - Drive the Roadmap: Contribute innovative ideas to the technical and product roadmaps, estimating effort for discovery and high-velocity execution. - Collaborate & Translate: Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations. - Predict & Prevent: Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions. - Own the Lifecycle: Take full end-to-end responsibility for complex initiatives, from initial scoping with stakeholders to production deployment and maintenance. - Lead by Example: Improve departmental code quality through thoughtful, detailed code reviews and by establishing team-level best practices for AI-assisted development. - Innovate: Stay ahead of industry trends, introducing new techniques and keeping a rigorous record of tech debt with clear paths to resolution. - Solve Complex Problems: Handle the most challenging issues in your area of expertise independently, serving as the technical authority for the team. Who You Are: - The Seasoned Pro: You have 5+ years of relevant experience and a strong foundation in statistics, machine learning, or a similar quantitative field. - The Mentor: You find fulfillment in pairing with other engineers to share knowledge and support team members in preventing burnout. - The Communicator: You can facilitate high-stakes meetings with both technical and non-technical stakeholders, leaving everyone with a clear sense of the "so what." - The Strategist: You understand the business impact of your projects and can effectively communicate the technical roadmap to leadership. - The Finisher: You have the grit to see complex epics through to completion, valuing even the "undesirable" work if it helps the team move faster. What You Bring: - Cloud & ML Infrastructure: Proven experience leveraging AWS (S3, Lambda) and SageMaker to build, train, and deploy machine learning models at scale. - Technical Proficiency: Mastery of Python and deep experience with ML techniques like regression, classification, and optimization. - Architectural Wisdom: The ability to make well-reasoned design trade-offs and provide high-level advice across multiple components of a domain. - AI-Forward Mindset: Experience using AI tools to rapidly prototype features and the ability to define validation standards for AI-generated code. - Experimentation Expertise: A solid understanding of product experiment design, analytics, and statistically rigorous analysis. - Tooling Fluency: Familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch) and libraries like Pandas/Numpy. - Operational Excellence: Experience building model development pipelines and productionizing models at scale. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! Visa sponsorship is not available for this role. About Us - Here are some of the ways we bring value to doctors - Here is an introduction to our tech stack - We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects - We have worked as a distributed team for a long time; we're currently about 65% distributed - Find out more information on the Doximity engineering blog - Our company core values - Our recruiting process - Our product development cycle - Our on-boarding & mentorship process Here's How You Will Make an Impact - Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform. - Play a key role in creating both product and client-facing analytics. - Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. - Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you - At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets. - Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory. - Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT). - Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow. - Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships. - Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries. - Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. - Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders. - Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research. Compensation The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: - Medical, dental, vision offerings for you and your family - 401k with matching program - Employee stock purchase plan - Family planning support, Childcare FSA, and parental leave - Life, AD&D, and Disability - Generous time off, holidays and paid company trips - Wellness benefits…plus many more! More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.