数据科学家
Data Scientist
麦肯森是一家以影响力驱动的财富10强公司,几乎涉及医疗保健的各个方面。我们以提供见解、产品和服务,使优质护理更易获得和负担得起而闻名。在这里,我们关注你和我们服务对象的健康、幸福和福祉——我们关心你。
在麦肯森,你的工作至关重要。我们营造一种文化,让你能够成长、产生影响,并被赋予带来新想法的权力。我们一起茁壮成长,共同塑造患者、我们的社区和我们自己的健康未来。如果你希望成为今天健康未来的一部分,我们期待你的加入。
Ontada的Genospace团队通过高级分析、机器学习和AI驱动的洞察力,正在变革精准医学。我们正在寻找一名数据科学家,帮助将复杂的医疗、基因组和临床数据转化为支持研究、临床开发和患者护理的可操作见解。
在此职位中,你将应用机器学习、统计建模和生成式AI技术,开发预测模型,构建分析解决方案,并提供数据驱动的建议。你将与产品经理、工程师、临床医生和科学家紧密合作,推进被领先医疗保健机构使用的精准医学解决方案。
你将负责(职责)
- 分析和验证医疗、临床和基因组数据,以支持研究和商业决策。
- 构建、测试和部署生成可操作见解的机器学习模型。
- 使用提示工程技术开发AI和大语言模型(LLM)解决方案。
- 进行统计分析,并将发现转化为明确的建议。
- 为技术和业务受众创建仪表板、报告和可视化内容。
- 与产品、工程、临床和科学团队合作,解决复杂的数据挑战。
- 编写生产就绪的代码,并在快节奏环境中支持多个分析项目。
基本要求
- 硕士学位并有2年以上相关经验,或学士学位并有4年以上相关经验,或同等经验。
- 数据科学、机器学习、分析、统计或相关领域的相关经验。
- 精通使用Python或R编程,并能编写复杂的SQL查询。
- 有应用统计技术分析数据并生成见解的经验。
- 有创建数据可视化、仪表板或分析报告的经验
查看英文原文
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
Ontada's Genospace team is transforming precision medicine through advanced analytics, machine learning, and AI-driven insights. We are seeking a Data Scientist to help turn complex healthcare, genomic, and clinical data into actionable insights that support research, clinical development, and patient care.
In this role, you will apply machine learning, statistical modeling, and generative AI techniques to develop predictive models, build analytical solutions, and deliver data-driven recommendations. You'll collaborate closely with product managers, engineers, clinicians, and scientists to advance precision medicine solutions used by leading healthcare organizations.
What You'll Do (Responsibilities)
- Analyze and validate healthcare, clinical, and genomic data to support research and business decisions.
- Build, test, and deploy machine learning models that generate actionable insights.
- Develop AI and large language model (LLM) solutions using prompt engineering techniques.
- Perform statistical analyses and translate findings into clear recommendations.
- Create dashboards, reports, and visualizations for technical and business audiences.
- Partner with product, engineering, clinical, and scientific teams to solve complex data challenges.
- Write production-ready code and support multiple analytics initiatives in a fast-paced environment.
Basic Requirements
- Master’s degree with 2+ years of relevant experience, or bachelor’s degree with 4+ years of relevant experience, or equivalent experience.
- Relevant experience in Data Science, Machine Learning, Analytics, Statistics, or a related field.
- Strong experience programming with Python or R and writing complex queries using SQL.
- Experience applying statistical techniques to analyze data and generate insights.
- Experience creating data visualizations, dashboards, or analytical reports and developing or supporting machine learning models.
Preferred Skills/Experience
- Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
- Experience developing machine learning models using techniques such as NLP, deep learning, Random Forests, or Gradient Boosting.
- Hands-on experience with Generative AI, large language models (LLMs), and prompt engineering.
- Experience working in cloud-based analytics environments, including Azure Databricks or similar platforms.
- Familiarity with development and deployment tools such as Git, Docker, Airflow, or MLOps frameworks.
- Experience working with healthcare, clinical, genomic, oncology, or precision medicine data.
- Knowledge of healthcare data standards, clinical research, EMR data, HIPAA requirements, or related healthcare domains.
Location / Travel
- This position is eligible for a remote work arrangement.
- While Dallas-based employees may be subject to enterprise-level in-office expectations, this role does not have a regular onsite requirement. Minimal travel may be required.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$91,800 - $153,000McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: .
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!
Originally posted on Himalayas