Department Overview: The Wisconsin Reading Center (WRC) is a core retinal image reading lab within the University of Wisconsin-Madison Department of Ophthalmology and Visual Sciences (DOVS). The WRC was founded on the enduring principles of intellectual honesty, quality, relevance, innovation, and staff satisfaction. Incepted in 1970 to support the seminal NIH-funded trials of laser treatment for diabetic retinopathy (DR), the WRC has broadened its scope to the evaluation of many retinal diseases, including dry AMD, atrophic AMD, neovascular AMD, DME, retinal vein occlusion, posterior uveitis, inherited retinal disease, AIDS-related ocular disease, and cataract. Anticipated Start Date: 5/4/2026 Anticipated End Date (If Applicable): Remote Work Eligibility Detail: All Remote Anticipated Hours Per Week: Minimum: 15 Maximum: 30 Schedule: -Work Hours: Between 8:00 a.m. and 6:00 p.m., based on standard business hours -Schedule Type: Flexible within the designated time window, as agreed upon with the supervisor -Work Location: 100% Remote Salary/Wage Range/Lump Sum: Minimum: $13.00 Maximum: $16.00 Number of Positions: 2 Qualifications: -Currently enrolled undergraduate or master’s student at the University of Wisconsin with a focus in data science, business analytics, statistics, computer science, or a related field -Minimum 2.0 grade point average Knowledge, Skills & Abilities: -Basic knowledge of data analysis, data cleaning, and data visualization principles -Ability to collect, organize, and analyze data to identify trends and insights -Experience or coursework using data analysis or visualization tools (e.g., Excel, Python, R, SQL, Tableau, Power BI) -Strong analytical, problem‑solving, and attention‑to‑detail skills -Ability to create clear reports and visualizations for technical and non‑technical audiences -Effective written and verbal communication skills -Ability to work independently and collaboratively in a research‑oriented environment -Strong organizational skills and ability to manage multiple tasks and deadlines Position Summary/Job Duties: -Assists in collecting, organizing, and cleaning data from various sources to ensure accuracy and integrity for analysis -Conduct exploratory or set data analysis to identify trends, patterns, forecasts, and/or insights that can inform strategic decisions and improve business processes -Create clear and visually appealing data visualizations, dashboards, and reports to communicate findings to the WRC team members and stakeholders -Support WRC team members in research and other projects by providing data-related assistance such as data retrieval and statistical analysis -Proactively identify opportunities to enhance data analysis processes, data visualization techniques, and data reporting mechanisms Physical Demands: This position is primarily sedentary and performed in a remote setting. The individual must be able to: -Sit for extended periods of time while working at a computer. -Use a computer, keyboard, mouse, and other standard office equipment for prolonged durations. -Maintain visual focus on a computer screen for extended periods. -Perform repetitive hand and finger movements for typing and data entry. -Occasionally stand, stretch, or change positions as needed. -Communicate verbally and in writing via virtual platforms. -Lift and move light objects (up to 10 lbs) occasionally, such as a laptop or peripheral equipment. Institutional Statements: Equal Employment Opportunity Statement: UW-Madison is an Equal Employment, Equal Access Employer committed to increasing the diversity of our workforce. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background-people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: diversity.wisc.edu Accommodation Statement: If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website:https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Lead Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities - You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. - You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. - You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. - You will design, develop and implement data science strategies that drive measurable business results. - You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. - You will use quality metrics to select machine learning models that will be deployed in the production environment. - You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. - You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization. - You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). - You will work with CD4ML practices and data versioning tools. Job qualifications Technical Skills - You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. - You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. - You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). - You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. - You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. - You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. - You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. - You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. - You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. - You ensure compliance with data privacy regulations and ethical standards when handling sensitive information. Professional Skills - You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. - You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. - You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. - You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. - You enjoy influencing others and always advocate for technical excellence while being open to change when needed. - You are a proven leader with a track record of encouraging teammates in their professional development and relationships. - Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Responsible Use of AI in Recruitment At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. Accommodations Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. Cancellations As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote Salary Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $141,000—$226,000 CAD See here our AI policy.

• AI & Data Science Strategy: Defining and evolving the company’s AI strategy across traditional machine learning, experimentation, evaluation, and generative AI applications. • Technical Leadership: Acting as the senior technical anchor for the function, ensuring the team applies strong scientific thinking, robust experimentation practices, and sound engineering judgment. • GenAI Adoption: Identifying where LLMs, agents, and related tooling can materially improve products, workflows, and team leverage, while avoiding hype-driven decisions. • Ecosystem Building: Creating the environment, tooling patterns, and ways of working that allow teams with mixed seniority to build and operate AI solutions effectively. • Team Leadership & Development: Coaching and developing emerging leaders and strong individual contributors, while helping define the right long-term organizational structure. • Cross-functional Translation: Bridging product, engineering, platform, and executive stakeholders to ensure AI initiatives are actionable, aligned, and well-prioritized. • Organizational Stabilization: Providing the seniority and leadership depth needed during a period of team transition and leadership change. • Selective Hiring: Helping calibrate and attract senior profiles who combine machine learning depth, strong judgment, and practical exposure to modern GenAI systems.

Role Description The Pharmacovigilance Lead Signal Detection is a senior expert responsible for leading and executing signal detection and evaluation activities across assigned client portfolios. The role combines scientific and epidemiological expertise with operational oversight of signal management workflows, ensuring that emerging safety signals are identified, assessed, prioritized, and communicated in compliance with applicable regulatory requirements (EMA GVP Module IX, ICH E2E, FDA) and client-specific procedures. The Signal Management Lead serves as the subject matter expert for signal-related activities and collaborates closely with medical reviewers, project leads, and client stakeholders. Essential Functions - Lead the design, execution, and oversight of signal detection activities, including quantitative analyses (PRR, ROR, EBGM) applied to spontaneous reporting databases (FAERS, EudraVigilance, VigiBase). - Conduct qualitative signal evaluation integrating data from spontaneous reports, clinical trials, post-authorization safety studies, scientific literature, social media monitoring, as applicable. - Prepare and review signal detection reports, signal evaluation reports, and signal management plans per client SOPs and regulatory expectations. - Ensure signal management activities are completed and reported within regulatory timelines to the appropriate entities (EMA, FDA, UK MHRA). - Oversee systematic medical literature searches (Embase, PubMed) and supervise triage and assessment of results for signal-relevant publications and ICSRs. - Collaborate with the aggregate reporting team on signal-related sections of PSURs/PBRERs and DSURs. - Contribute to Risk Management Plans (RMPs) and REMS as required. - Lead, supervise, and mentor PV Specialists and Sr. PV Specialists assigned to signal detection activities. - Develop and review SOPs and Work Instructions related to signal management in collaboration with the PV Quality Manager and the PV Medical Writing Manager. - Ensure inspection and audit readiness and actively support QA activities including CAPA follow-up. - Interact with the PV Physician and QPPV for scientific exchange pertaining to signal assessment and benefit-risk implications. - Comply with all applicable guidelines, policies, legal, regulatory, and compliance requirements. Qualifications - Advanced degree in pharmacy (PharmD preferred), medicine, life sciences, or epidemiology. - A postgraduate qualification in pharmacoepidemiology or drug safety is an advantage. Experience - Minimum 4 years of PV experience, with at least 2 years focused on signal detection or pharmacoepidemiology at a PV vendor, CRO, or pharmaceutical company. - Hands-on experience with signal detection methods and regulatory safety databases (FAERS, EudraVigilance, VigiBase) required. Computer Skills - Safety databases (like Oracle Argus Safety, ArisG LifeSphere, Veeva Safety, AB Cube Safety), signal detection tools, literature databases (Embase, PubMed), Microsoft Office Suite. - Familiarity with statistical tools is an advantage. Work Environment Remote: Romania / Poland or Portugal To apply for this role: - Step 1: Proceed to follow the form instructions - Step 2: Our HR team will review your application with feedback - Step 3: If successful, HR will arrange your Introductory call - Step 4: A potential online language assessment - Step 5: 1st formal interview - Step 6: 2nd formal interview - Step 7: Offer Disclaimer By attaching your Curriculum Vitae (CV), resume, and/or completing an online application, you are consenting to the collection, processing, use, transfer (including but not limited to other countries/jurisdictions), storage, and disclosure of your personal data as described in the Med Communications, Inc. Privacy Policy. Please read this policy carefully for more information on your rights regarding personal data protection. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or veteran status. Recruitment Agency Notice: Thank you for your interest in working with Med Communications. We kindly ask that recruitment agencies avoid sending unsolicited CVs, as our in-house team manages all hiring processes. Please be aware that any unsolicited CVs or candidate profiles received without prior engagement or agreement with our recruitment team will be considered free and carry no obligation on the part of Med Communications. We thank you for your compliance with our policy. Should collaboration opportunities arise, we will reach out to preferred partners proactively. Your understanding and cooperation are appreciated.