北京招聘

Job Title: Principle Data Scientist: Computational Biology

Possible Location: Shanghai, China

With the convergence of genomic sequencing, electronic medical records (EMR), digital health and cloud computing, we can finally measure the genetic, clinical and environmental contributors to disease. We have more data than ever before, however very few organizations have the ability capture these data within a single patient population. Even fewer organizations have the interdisciplinary expertise required to extract the valuable insights across these integrated datasets.

Johnson & Johnson is one of the few global healthcare organizations with a history of leadership in the device, pharmaceutical and consumer healthcare sectors. Here at World Without Disease Accelerator (WWDA) within Johnson & Johnson, we believe that the convergence of the capabilities above will eventually allow providers to detect and intercept disease before the earliest clinical symptoms manifest. We are looking for data scientists who share this view and are passionate about applying state of the techniques to analyze diverse -omics, EMR, device, and clinical data.

The Principle Data Scientist will work alongside his/her scientific peers to design data analysis strategies, interpret results and drive decision-making in the pursuit of prevention, interception, and the cure of disease. He/she will have experience working in interdisciplinary teams and gaining support for the use complex analytics to answer biological questions. As a member of the global Data Sciences and Predictive Biomarkers team, you will join a collaborative, international team of scientists and proactively contribute your experience and expertise to achieving the WWDA vision.

Key Responsibilities

• Collaborate closely with your scientific peers within the WWDA disease areas and local china lung cancer initiative team and Janssen China bioinformatics/IT teams to identify the datasets and analyses necessary to formulate and test scientific hypotheses, discover disease/pathway associations, identify novel targets and/or identify biomarkers
• Design and develop novel computational pipelines for the analysis and integration of -omic data from clinical studies
• Maintain expert knowledge of computational biology tools. Review, test and benchmark these tools towards implementation and improvement of WWDA/LCI programs.
• Keep abreast of scientific literature, emerging approaches and innovations in computational biology.
• Collaborate with an interdisciplinary WWDA team and across Janssen therapeutic areas
• Represent the Data Sciences team in both WWDA meetings and meetings with external collaborators
• Develop deep understanding of China regulation/policy of data science and communicate to WWDA data science team.
• Develop local solutions in data science field when there is a need
  
  

Qualifications

Required

• PhD in Bioinformatics, Biostatistics, Computational Biology, Applied Mathematics, Computer Science, Statistics, Machine Learning or similar field
• A solid understanding of statistics and data mining of biological data types
• At least 4 years of experience working with large scale genomic data types (e. g. next generation sequencing, metagenomics, transcriptomics, metabolomics, etc)
• Expertise in Python and/or R
• Experience working in a Linux environment
• Experience working in an Amazon cloud environment
• Outstanding programming and problem-solving skills
• Self-driven and work well in an interdisciplinary team with minimal direction
• A strong desire to understand why things work the way they do
• Thrive in a fast-paced environment and able to prioritize amongst multiple projects
• Experience with communicating and presenting complex concepts to diverse audiences
• Must be organizationally adaptable, innovative and thrive in high complexity environments to deliver high quality work product in the face of multiple demands
• Good communication skills, proficient in English and Chinese

Preferred

• Experience analyzing data in one or more of the following therapeutic areas: Type 1 Diabetes, Lung Cancer, Colorectal Cancer or Pediatrics
• Experience analyzing diverse patient cohorts containing clinical, -omics and imaging data
• Expertise in methods pertinent for functional interpretation of -omics data, e. g. pathway enrichment, functional module detection, causal reasoning
• Experience with both relational and no-sql databases
• Experience with machine learning/deep learning techniques
• Experience working with real world evidence data

强生是全球具综合性、业务分布范围广的医疗保健企业，业务涉及消费品、制药、医疗器材三大领域，1985年在华创立了***家合资企业。强生遵循企业信条的价值观，致力于践行“关爱全世界,关注每个人”的健康愿景，以领先的科技研发创造创新的理念、产品和服务，为改善人类健康和福祉而不懈努力。每天，强生遍布世界各地的员工，与他们的合作方一起，为全球消费者和病患带来更健康、更快乐、更长寿的生活。
强生于1985年在华创立了***家合资企业。 多年来，强生不断发挥行业领军作用，以创新、高质量的产品和服务，为中国亿万家庭带来健康。如今，强生在中国的业务涉及消费品、制药、医疗器材三大领域，在北京、上海、广州、苏州、西安等90多个城市，拥有员工总数近10,000人。强生在西安高新技术产业开发区投资兴建先进的大型生产基地，以更好地服务中国和亚太地区其他国家。
强生是***在中国成功实现“端到端”研发模式的跨国企业；并通过实现从早期研发到临床应用，致力于加速中国创新产品的研发，促进中国创新型经济的发展。强生的三大业务领域在中国均设有研发机构, 并在上海建立了强生亚太创新中心，将源自于中国和亚太区域的创新成果推向国际市场。
该创新中心是强生深化外部合作战略的主要窗口。强生将密切与创新企业、学术和科研机构，以及优秀人才的合作，通过提供资金、专业知识和技术，共同将雏形创新转化为医学临床应用的成果，强生并在中国建立全球肺癌研究中心，以满足中国及国际市场的需求，造福病患。
强生心系中国的发展和进步，致力于成为优秀的企业公民。强生积极参与各类重大活动，助力中国的社会经济发展， 并荣幸的成为2008年北京奥运会及残奥会和2010年上海世博会美国馆的全球合作伙伴。
为加强对中国市场的承诺，强生于近期部署了中国发展新战略。强生将融汇全球的资源、凝聚在华的核心业务能力，更加稳健的迈开公司积极创新、完美执行和锐意领先的步伐，为中国创造更多价值。
强生多次荣获《巴伦周刊》“全球最受尊敬企业”的荣誉，充分体现了强生始终以实际行动改善人类健康福祉的不变理念。
2017年，强生连续第33年入选美国《财富》杂志发布的全球最受赞赏企业排行榜，位列总榜第13名，居全球制药行业榜首。