- Applying SciBite technology to address key drug-discovery and other life science data analysis questions
- Working with existing and new customers with our tools, developing scripts and pipelines to help customers achieve their goals
- Collaborating within the data science team developing new text analytics and machine-learning tools to open new avenues of data mining
- Collaborating with Elsevier colleagues to integrate and test connected solutions
- Have a bioinformatics, cheminformatics or information-science background or practical experience in handling public biomedical/healthcare databases, particularly life-science text-based content
- Be familiar with major bio- and cheminformatics public databases
- Have a good Python scripting knowledge including use of RESTful web services and data science libraries such as Pandas
- Demonstrate willingness to take on new challenges outside of their comfort zone, applying new technologies as necessary
- Be comfortable in representing SciBite at customer and public meetings and great interpersonal skills
- Working remotely from home and at our office in a hybrid working style
- Working flexible hours - flexing the times you work in the day
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Long service awards
- Save As You Earn share option scheme
- Travel Season ticket loan
- Maternity, paternity and shared parental leave
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts via Perks at Work
Company
Location
Cambridge, East of England, England - United Kingdom
Job type
Full-Time
Python Job Details
Junior Data Scientist
Location: Cambridge or London, the UK
Do you enjoy being part of a team that is driving innovation in Life Science?
Are you creatively minded yet data and insight-driven?
About our Team
Our SciBite Team uses semantic analytics solutions to transform the way life science organisations handle text and documents. We can quickly identify and extract scientific terminology from unstructured text and transform it into valuable machine-readable data. Our tools are flexible, versatile and simple to use, ensuring we provide an exceptional experience to our user community.
About the Role
As a Data Scientist, you will collaborate with our customers to solve text analysis questions using SciBite technology. You will learn and shape cutting-edge informatics and drug discovery with global pharmaceutical and life science companies. You will discover new approaches and skills and will engage with some of the hottest new technologies out there today.
Responsibilities
Requirements
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people.
With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working with us
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.
Working for you
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
Join Us
Purposeful Work
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.
Growing Every Day
Like the communities we serve, you are on a constant path of discovery to shape your career and personal development.
Colleagues Who Care
You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.
Together, we create possibilities.
Join us
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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.
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