Data Scientist

<h2≥Job Overview:</h2≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Are you passionate about solving healthcare challenges with artificial intelligence and machine learning? Covance, the drug development business of LabCorp, is looking for self-motivated data scientists to help solve clinical research challenges and deliver novel medicines to patients in need sooner! </span≥</p≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥You will join a dynamic, high impact team focused on developing innovative, data-driven solutions to improve the speed, cost and quality of drug development. As a leader in pre-clinical, central laboratory and clinical trial management services, Covance has assembled an unrivaled database of clinical trial performance. As a drug development division of LabCorp, Covance has access to unique diagnostic data on patients in need of breakthrough treatments. As a member of Data & Technology team, you will apply the art of data science and power of the modern AI/ML technology to unlock the value of this data and help pharmaceutical and biotech companies to optimize and ensure success of their clinical trials.</span≥</p≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥As a data scientist and key member of the informatics team, you will develop data science approaches, tools and methodologies that will utilize operational, clinical, diagnostic and other data to address drug development challenges. Examples of such challenges include optimization of study design to reduce study complexity and improve patient availability, selection of clinical sites and investigators to optimize patient recruitment, forecasting and avoidance of operational and safety risks, and modelling to optimize the utilization of resources, patient safety, optimal trial execution, and maximum operational efficiency in clinical studies.</span≥</p≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥You will be responsible for drawing analytical insights from noisy, real-world data, developing predictive and prescriptive algorithms, and communicating results to business stakeholders. You will be expected to implement and deliver state-of-the-art data science models and algorithms that will enable effective use of company’s data assets and will generate operational benefits for our teams and clients.</span≥<span style="font-size: 11.0pt;"≥ You will work in a partnership with our software engineers, data architects and clinical subject matter experts to develop innovative solutions that will advance and reimagine drug development. </span≥</p≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥We seek smart, focused, passionate self-starters who bring energy, new ideas and practical experience to a fast-paced and dynamic team, are obsessed with delivering useful solutions, and care deeply about their customers and each other.</span≥</p≥<p style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Responsibilities:</span≥</p≥<ul≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Discover stories told by data and present them to others through rich and intuitive visualizations.</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Develop novel ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Formulate, implement, test and validate state-of-the-art data science algorithms.</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Build underlying data infrastructure to better manage, integrate and mine the data that Covance processes on a daily basis.</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Deploying data science models into production use.</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Work closely with engineering teams and participate in the full development cycle from product inception, research and prototyping to release in production.</span≥</li≥</ul≥<h2≥Education/Qualifications:</h2≥<ul≥<li≥<span style="font-size: 11.0pt;"≥PhD or Master degree with 2+ years of industry experience in bioinformatics, computer science, data science, statistics, or another quantitative field</span≥</li≥</ul≥<h2≥Experience:</h2≥<ul≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Deep understanding of data mining, machine learning, and predictive analytics theory and approaches with a demonstrated expertise in applying regression, classification, neural network, unsupervised learning, and reinforcement learning techniques</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Solid knowledge of statistics and probability</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Strong coding skills in Python</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Strong SQL knowledge</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Experience with deep learning libraries such as TensorFlow, PyTorch</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥In-depth experience in a specialized area such as natural language processing, reinforcement learning, computer vision, is preferred</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11.0pt;"≥Able to quickly prototype data science models</span≥</li≥<li style="margin-bottom: 12.0pt;"≥<span style="font-size: 11pt; font-family: verdana, geneva;"≥<span style="font-size: 11pt;"≥Strong communication skills and ability to present science ideas and results effectively</span≥</span≥</li≥</ul≥