Senior Health Data Scientist

United Kingdom - London (Global Support Office)

This vacancy is now closed

Description

About Us:

At MSI we are unapologetically pro-choice. We believe that every woman has the right to make choices about her own body and her own future. As one of the world’s leading providers of contraception and safe abortion care, we give women the means to do so. Across 37 countries, we provide high quality, safe services, and work with advocacy to create an enabling environment, so every client has safe access to services when and where they are needed. Because when a woman can determine her own future, she can contribute to creating a better, more sustainable future for everyone.

MSI is committed to creating an inclusive environment with a workforce which is representative of the communities we serve. We’re proud to be an equal opportunities employer and give equal consideration to all qualified applicants without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. We are committed to promoting equality and safeguarding the welfare of all team members and clients, with a focus on vulnerable groups. 

The role

This is an exciting opportunity for a seasoned professional – passionate about driving development to be more effective, equitable, and efficient through evidence and identifying best practice – to join MSI Reproductive Choices.

As a Senior Health Data Scientist at MSI Reproductive Choices, you will help transform our clients’ data into tangible value by analysing information, communicating outcomes and collaborating on data tool product development. Whether it’s investigating client trends in outreach or linking climate challenges to service delivery to show the health impact benefit, you will work to solve real problems for MSI transforming the lives of millions of women.

The most important characteristic is that you love data analysis and have the curiosity and drive to answer both simple and complex questions and feel your job is done when your outputs are being used for positive change and improving MSI Reproductive Choices results. You will also have a passion for playing a key role in envisioning our data science research and strategy.

About you

We want individuals who support our mission of eliminating unsafe abortion by 2030 and who work with us to build an enabling environment to increase access to safe services everywhere. We expect all team members to share our vision and commitment to achieving our mission whilst promoting equality and safeguarding the welfare of all clients and colleagues.

To succeed in this role, you must have:

Experience:

  • Proven experience of using advanced analysis skills using statistical software packages (e.g. STATA or R, Python or the likes) and quantitative analysis techniques such as Interrupted Time Series analysis.
  • Hands on experience with data architecture and large-scale datasets extraction, manipulation, preparation, cleaning, transformations, analysis, modelling and visualization).
  • Demonstrated ability to build data visualisation tools using Excel, PowerBI and/or other analytical tools.
  • Good knowledge of financial and costing models and “value-add” modelling.
  • A proven track record of improving service delivery or operations through use of data & evidence.
  • Proven experience working cross-culturally, providing technical support remotely.
  • High familiarity and experienced in writing and editing documents for various audiences, including non-research ones that can explain and communicate complex subjects succinctly.

Desirable

  • Experience in reproductive healthcare service delivery models and health financing approaches an advantage.
  • Experience with geospatial analysis, preferably in QGIS.
  • Have been involved in data collection systems & technology that has enabled change such as mobile, analytics, cloud solutions.

Skills:

Essential

  • Very strong analytical and critical thinker, - highly numerate and skilled in analytical methods SPSS and STATA and advanced knowledge of VBA, Macros, Microsoft Excel, Access PowerBI, Tableau or equivalent.
  • Knowledge of DHIS2 is desirable. Ability to critically appraise different methods for their strengths and weaknesses.
  • Excellent verbal and written communicator: ability to convey complex concepts in plain English to non-technical audiences and to lead confidentially representing MSI externally, including liaising with donors and building relationships with external partners. Providing reassurance & clear recommendations at senior levels.
  • Good influencing skills: ability to quickly and effectively build relationships employ smart and frequent communications to effectively work across different levels of the organisation.
  • Team player: with highly developed interpersonal, negotiation and influencing skills. Ability to forge strong relationships in person and with remotely based colleagues.
  • Drive for results: Curious, interested and passionate how data can be used to improve performance and results; challenging the status quo to look for new ways of doing things. Aware of the emerging developments within our sector, with the desire and ability to take these trends and practically apply them to our work.
  • Ability to rapidly and effectively prioritise tasks and delegate responsibility. Highly comfortable working under budget, time, data constraints and shifting priorities. Ability to run concurrent work streams simultaneously and switch seamlessly between tasks. Able to stick to deadlines and deliver on time and to high standard.

Desirable:

  • Experience with geospatial analysis, preferably in QGIS.
  • Commercial analytics such as price elasticity; marketing analytics such as client profiling, segmentation & targeting.

Qualifications

  • Ideally have a BSc in Computing, Mathematics or Statistics, however the key for us is having spent time working in the Data Science space, where you will have gained experience with analytics tools and languages (e.g. R, Python), as well as in big data ethics and model development and validation.
  • Master’s degree (or higher) in public health research, international development, social sciences, statistics, health sciences or related discipline (desirable but not essential).
  • Proficiency in French (highly desirable).

Personal Attributes:

  • Committed to the protection of team members and clients, with a focus on vulnerable groups.
  • Able to role-model inclusive and culturally sensitive attitudes and behaviours.
  • A strong supporter of the cause of family planning and a woman’s right to safe abortion (Pro-choice).
  • The ideal candidate is passionate about social, data and analytics. Someone who has an innate curiosity and the desire to find out "why?” And want to make the data turn into action. High “crazy” attention to detail - sleepless nights because a datapoint in your model is skewing your results.
  • Resilient, flexible and thrive in fast-paced, dynamic environments
  • Highly motivated to support organisations become self-sustainable and reduce dependency upon donor funding.
  • Ability to travel internationally.
  • Passionate about our clients and strives to consistently meet and exceed expectations, putting the clients at the centre of everything, and ensuring we deliver high quality, high impact services that meet their individual needs.
  • Actively seeks out feedback on their performance (both results and behaviours) with a view to continuously learning and growing as a leader.

For more information about the role, please view the job description and person specification on our website.

Location: London, W1T

Full-time: 35 hours

Contract type: Permanent

Salary: £39,700 - £46,500 per annum

Closing date: Monday 15th February 2021 (midnight GMT). Interviews may take place before this date for exceptional candidates.

For internal staff applying from an MSI country programme, the role will be positioned within the existing salary structure of the country. Local terms and conditions of the country will apply.

 


disability confident committed badge preceptorship quality mark 2019-20 flexible working living wage