{"id":14075,"date":"2024-09-26T14:33:53","date_gmt":"2024-09-26T14:33:53","guid":{"rendered":"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/?page_id=14075"},"modified":"2025-11-28T12:37:48","modified_gmt":"2025-11-28T12:37:48","slug":"software-datascience","status":"publish","type":"page","link":"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/info-resources\/exploration\/software-datascience\/","title":{"rendered":"Career area: Data science, analytics and software"},"content":{"rendered":"\n<div class=\"vf-grid | vf-grid__col-3\"><div class=\"vf-grid__col--span-2\"><!--[vf\/content]-->\n<div class=\"vf-content\">\n\n<h2 class=\"wp-block-heading\">A &#8216;software development, IT, data science&#8217; career<\/h2>\n\n\n\n<p>Commercial data analytics and software roles are a common career destination for computational biologists, bioinformaticians and scientists from other quantitative disciplines (e.g. maths and physics) with significant programming experience. Some roles are also potential career options for life scientists with a wet-lab biology background and experience in programming data analysis pipelines.<\/p>\n\n\n\n<p>Employers include specialist software\/high-tech companies, ranging from small start-ups to large multinational companies \u2013 as well as companies with a broader portfolio, who develop in-house digital solutions to support their products and services.&nbsp;<\/p>\n\n\n\n<p>Note: there are also computational biology roles within life science R&amp;D, including data science roles that use biological\/research data to deliver insights relevant to drug development pipelines: for these roles, please also see our industry R&amp;D career area article.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"vf-tabs\"><ul class=\"vf-tabs__list\" data-vf-js-tabs=\"true\"><li class=\"vf-tabs__item\"><a class=\"vf-tabs__link\" href=\"#vf-tabs__section-ad9d22e7-f2ff-4f69-8d17-6906474a25b3\" data-vf-js-location-nearest-activation-target=\"\">Roles and responsibilities<\/a><\/li><li class=\"vf-tabs__item\"><a class=\"vf-tabs__link\" href=\"#vf-tabs__section-0e516856-67d5-40f7-8a48-9fb56f3d4d9c\" data-vf-js-location-nearest-activation-target=\"\">Career entry and progression<\/a><\/li><li class=\"vf-tabs__item\"><a class=\"vf-tabs__link\" href=\"#vf-tabs__section-2b831503-f499-4f03-ae98-402b00c99e2e\" data-vf-js-location-nearest-activation-target=\"\">Knowledge and skills<\/a><\/li><\/ul><div class=\"vf-tabs-content\" data-vf-js-tabs-content=\"true\">\n<section class=\"vf-tabs__section\" id=\"vf-tabs__section-ad9d22e7-f2ff-4f69-8d17-6906474a25b3\"><h2>Roles and responsibilities<\/h2>\n<p>There are different types of roles in this area:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Software developer\/engineering roles<\/strong> focussed on the design and programming of specific software, apps or other digital tools. This may include maintenance and building new features, or building new tools from scratch.&nbsp;<\/li>\n\n\n\n<li><strong>Data science roles<\/strong> that aim to generate meaningful insights from large datasets by creating specific, reproducible data analysis or predictive analytics pipelines using R, Python and other tools \u2013 often (but not always) applying artificial intelligence.&nbsp;<\/li>\n\n\n\n<li><strong>More technical roles <\/strong>(e.g. DevOps, database systems); these are only possible for those with a strong computational science background.<\/li>\n<\/ol>\n\n\n\n<p>The exact tasks will vary by role\/company but often involve:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>coding:\n<ul class=\"wp-block-list\">\n<li>for software solutions, often collaboratively, with a focus on efficient, maintainable and stable solutions.<\/li>\n\n\n\n<li>for data science: pull data from internal databases; assess, clean, transform and visualize\/summarize data; potentially build reporting dashboards, machine learning models, or an&nbsp;<em>application programming interface<\/em>&nbsp;(API).<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>meeting with end-users or \u2018problem owners\u2019 to understand:\n<ul class=\"wp-block-list\">\n<li>for software: the needs and requirements of the end-users.<\/li>\n\n\n\n<li>for data science: the data being looked at, and what analysis might bring value and insight.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>strategic planning of the to-be-delivered solutions, and their (continuous) deployment.<\/li>\n\n\n\n<li>attending project meetings where progress and upcoming tasks are discussed, and work distributed including (collaboratively) deciding on task prioritization and assignments. Note that many software companies use a method called \u2018SCRUM\u2019 for project management that has a focus on allowing \u2018agile\u2019 development<\/li>\n\n\n\n<li>communicating with team members working in product management, IT management, software architecture, user experience and DevOps,&nbsp;<\/li>\n\n\n\n<li>training\/staying up to date with new developments<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>presenting progress\/insights to managers and \u2018problem owners\u2019.<\/li>\n\n\n\n<li>involvement in other business aspects like overall strategy, patent preparation, managing\/mentoring teams&nbsp; etc.<\/li>\n<\/ul>\n<\/section>\n\n\n\n<section class=\"vf-tabs__section\" id=\"vf-tabs__section-0e516856-67d5-40f7-8a48-9fb56f3d4d9c\"><h2>Career entry and progression<\/h2>\n<p>Data science roles are directly accessible for PhDs and postdocs&nbsp;with experience in data analysis pipelines written in R or python, and ideally some knowledge of SQL (which is often used to extract relevant data from databases). For some roles, experience with machine learning techniques may also be advantageous or required. For those with less experience, the career path is accessible with additional training.&nbsp;<\/p>\n\n\n\n<p>Software development roles are often directly accessible for those with a formal computational degree, or those with computational projects who have significant programming experience.<\/p>\n\n\n\n<p>Interviews may include technical questions focused on theory (e.g. on data structure and specific algorithms), as well as coding tests that apply this, so it is advisable to refresh your knowledge in relevant computational science topics in advance of interviews.<\/p>\n\n\n\n<p>Note: many of our former PhDs and postdocs have entered roles focussed on developing\/maintaining scientific software, but some former fellows also work on business software and digital tools at other companies including in the high-tech sector (Google, Amazon and IBM), financial services etc.&nbsp;<\/p>\n\n\n\n<p>Common career development paths in this career area include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>gaining in seniority and becoming a technical expert in specific areas (e.g. software architecture, data science expert, tech lead),&nbsp;<\/li>\n\n\n\n<li>moving into a more people-management role supervising a team<\/li>\n\n\n\n<li>moving sideways into other types of roles that have a more coordination\/strategy development and less technical focus (e.g. product management)<\/li>\n\n\n\n<li>starting a consultancy or free-lance business<\/li>\n<\/ul>\n\n\n\n<p><strong>Example job titles<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>(Software) developer\/engineer<\/li>\n\n\n\n<li>Computational scientist<\/li>\n\n\n\n<li>Data scientist<\/li>\n\n\n\n<li>Machine learning specialist, machine learning engineer<\/li>\n\n\n\n<li>Data analyst<\/li>\n\n\n\n<li>Business intelligence analyst<\/li>\n\n\n\n<li>Systems engineer<\/li>\n\n\n\n<li>HPC engineer<\/li>\n\n\n\n<li>Programmer<\/li>\n\n\n\n<li>Database programmer<\/li>\n\n\n\n<li>Full-stack developer<\/li>\n\n\n\n<li>Software architect, tech lead (more senior roles)<\/li>\n<\/ul>\n<\/section>\n\n\n\n<section class=\"vf-tabs__section\" id=\"vf-tabs__section-2b831503-f499-4f03-ae98-402b00c99e2e\"><h2>Knowledge and skills<\/h2>\n<p>Data science roles require experience accessing and analysing large datasets, and developing\/programming algorithms to process the data using relevant programming languages and tools (e.g. R\/Python [and relevant toolkits], version control etc.). A good knowledge of statistics and experience with machine learning methods is advantageous. Building a portfolio of small projects is often recommended as a way of furthering and demonstrating your knowledge. Online courses can be helpful to build relevant skills and a range of companies offer intensive data science courses (bootcamps) with capstone projects or short internships for those with a lack of experience.<\/p>\n\n\n\n<p>Software development roles require hands-on experience with developing tools in at least one programming language relevant to the specific role. These roles require knowledge of software development best practices and theory in order to build stable software that integrates with other tools from the company and can be maintained long-term.<\/p>\n\n\n\n<p>Broader skills are also critical for both types of role. Strong listening and critical thinking skills, willingness to ask questions, and an ability to present back the results clearly are required. Data scientists are expected to understand the problems that the business\/client are trying to investigate, and to deliver meaningful analysis that gives actionable insights. Similarly, software teams must develop solutions that clients want to buy \u2013 the solution must solve a need the client has and be user-friendly. Ability to work in teams is also a must as the software\/data analysis solutions are generally developed by a group of people. Given the range of projects and fast pace of technology developments, a love of learning is also often mentioned as an asset for data science roles.<\/p>\n\n\n\n<p>In our&nbsp;<a href=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/blog\/2022\/03\/skills-for-a-scientific-career\/\">careers and skills survey,<\/a>&nbsp; 11 data science or software professionals told us the competencies they use most in their daily work&nbsp; The most frequently selected competencies were:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>team work (selected by 73% of respondents)<\/li>\n\n\n\n<li>broad scientific knowledge&nbsp; (selected by 64%)<\/li>\n\n\n\n<li>resilient problem solving&nbsp; (selected by 45%)<\/li>\n\n\n\n<li>visualizing data and ideas (selected by 45%)<\/li>\n\n\n\n<li>delivering presentations&nbsp; (selected by 45%)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Language requirements<\/strong><\/h4>\n\n\n\n<p>While some companies will work in the local language, many software companies have English as the main language. Obtaining a position without fluency in the local language is possible in many companies.&nbsp;<\/p>\n<\/section>\n<\/div><\/div>\n\n<\/div>\n<\/div>\n\n\n<div><!--[vf\/content]-->\n<div class=\"vf-content\">\n\n<figure class=\"vf-figure wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1700\" class=\"vf-figure__image\" src=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-scaled.jpg\" alt=\"\" class=\"wp-image-13347\" srcset=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-scaled.jpg 2560w, https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-300x199.jpg 300w, https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-1024x680.jpg 1024w, https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-768x510.jpg 768w, https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-1536x1020.jpg 1536w, https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/wp-content\/uploads\/pexels-luis-gomes-546819-2048x1360.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  \n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n          <h3 class=\"vf-card__heading\">\n        \n        What do people value about this career?\n              <\/h3>\n    \n    \n          <p class=\"vf-card__text\"><!-- wp:paragraph -->\r\n\r\nIn our<a class=\"vf-card_link\" href=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/blog\/2022\/03\/skills-for-a-scientific-career\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u00a0careers and skills survey<\/a>, data science \/ software professionals told us that they appreciate that their work:\r\n<ul>\r\n \t<li>is intellectually stimulating<\/li>\r\n \t<li>provides opportunities for personal growth<\/li>\r\n \t<li>provides stable employment<\/li>\r\n<\/ul>\r\n<!-- \/wp:list-item -->\r\n\r\n<!-- \/wp:list --><\/p>\n      <\/div>\n<\/article>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n<style>\n    <\/style>\n\n<section id=\"wp-block-1\">\n  <div class=\"vf-card-container  | vf-u-fullbleed  \n  | vf-u-background-color-ui--grey--light \">\n          <div class=\"vf-section-header | vf-u-margin__bottom--600 | vf-u-sr-only\">\n        <h2 class=\"vf-section-header__heading\" >\n        header    <\/h2>\n              <\/div>\n      \n\n<div class=\"vf-grid | vf-grid__col-3\"><div class=\"vf-grid__col--span-2\"><!--[vf\/content]-->\n<div class=\"vf-content\">\n\n<h2 class=\"wp-block-heading\">Want to learn more about this career area?<\/h2>\n\n\n\n<details  class=\"vf-details\" id=\"\"  >\n<summary class=\"vf-details--summary\">\nOverview articles<\/summary>\n<div class=\"acf-innerblocks-container\">\n<div class=\"vf-links vf-links--tight vf-links__list--s vf-links__list--very-easy\">\n    <ul class=\"vf-links__list vf-list vf-links__list--secondary\">\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/bitesizebio.com\/7375\/my-job-life-sciences-software-developer\/\">\n        My Life as a Life Sciences Software Developer \u2013 BitesizedBio      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/blogs.nature.com\/naturejobs\/2017\/07\/21\/from-doctorate-to-data-science-a-very-short-guide\/\">\n        From doctorate to data science: a very short guide \u2013 NatureJobs      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/www.science.org\/content\/article\/search-results-careers-high-tech\">\n        Careers in high tech      <\/a>\n      <\/li>\n  <\/ul>\n\n<\/div>\n\n<\/div>\n<\/details>\n\n\n\n<details  class=\"vf-details\" id=\"\"  >\n<summary class=\"vf-details--summary\">\nResources<\/summary>\n<div class=\"acf-innerblocks-container\">\n<div class=\"vf-links vf-links--tight vf-links__list--s vf-links__list--very-easy\">\n    <ul class=\"vf-links__list vf-list vf-links__list--secondary\">\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/www.kaggle.com\/\">\n        Kaggle \u2013 a community of data scientists and machine learners      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/nssdeviations.com\/\">\n        Podcast: Not so standard deviations Podcast      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/towardsdatascience.com\/\">\n        Towards data science \u2013 website publishing articles on data science topics      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/career.ucsf.edu\/phds\/career-paths\/data-science-careers\">\n        UCSF data science career exploration pages      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/intersectjobsims.com\/\">\n        InterSECT Job Sim simulation library.      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/www.linkedin.com\/groups\/7036558\/\">\n        Technology investor club: artificial intelligence, data science, fintech, robotics and cloud AI LinkedIn group      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/www.linkedin.com\/groups\/8404705\/\">\n        Data Illuminati LinkedIn group      <\/a>\n      <\/li>\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/biont-training.eu\/training.html\">\n        BioNT training resources for digital skills       <\/a>\n      <\/li>\n  <\/ul>\n\n<\/div>\n\n<\/div>\n<\/details>\n\n\n\n<details  class=\"vf-details\" id=\"\"  >\n<summary class=\"vf-details--summary\">\nBooks<\/summary>\n<div class=\"acf-innerblocks-container\">\n<div class=\"vf-links vf-links--tight vf-links__list--s vf-links__list--very-easy\">\n    <ul class=\"vf-links__list vf-list vf-links__list--secondary\">\n    <li class=\"vf-list__item\">\n          <a class=\"vf-list__link\" href=\"https:\/\/libcatalog.embl.de\/cgi-bin\/koha\/opac-detail.pl?biblionumber=24890\">\n        Build a career in datascience by Emily Robinson &amp; Jacqueline Nolis.      <\/a>\n      <\/li>\n  <\/ul>\n\n<\/div>\n\n<\/div>\n<\/details>\n\n\n\n<div class=\"vf-box vf-box--normal vf-box-theme--quinary | vf-u-margin__bottom--400\">\n                            <p class=\"vf-box__text\">We highly recommend learning more about the careers using the resources above, then conducting <a href=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/info-resources\/making-connections\/#vf-tabs__section-c9d226ee-2bad-45ed-bf4a-7d49cd01ad03\">informational interviews<\/a> to gain further insights directly from former PhDs working in career areas that interest you.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n<div><!--[vf\/content]-->\n<div class=\"vf-content\">\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  \n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n          <h3 class=\"vf-card__heading\">\n                  <a class=\"vf-card__link\" href=\"https:\/\/www.embl.org\/internal-information\/eicat\/embl-fellows-career-service\/career-exploration\/\" target=\"\">\n        \n        For EMBL fellows\n                  <svg aria-hidden=\"true\" class=\"vf-card__heading__icon | vf-icon vf-icon-arrow--inline-end\" width=\"1em\" height=\"1em\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n            <path d=\"M0 12c0 6.627 5.373 12 12 12s12-5.373 12-12S18.627 0 12 0C5.376.008.008 5.376 0 12zm13.707-5.209l4.5 4.5a1 1 0 010 1.414l-4.5 4.5a1 1 0 01-1.414-1.414l2.366-2.367a.25.25 0 00-.177-.424H6a1 1 0 010-2h8.482a.25.25 0 00.177-.427l-2.366-2.368a1 1 0 011.414-1.414z\" fill=\"currentColor\" fill-rule=\"nonzero\"><\/path>\n          <\/svg>\n        <\/a>\n              <\/h3>\n    \n    \n          <p class=\"vf-card__text\">Further internal resources (e.g. library of recorded career talks) can be found on our intranet pages.<\/p>\n      <\/div>\n<\/article>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n        <\/div>\n<\/section>\n\n\n<hr class=\"vf-divider\">\n\n\n\n\n        <div class=\"vf-section-header\">\n        <h2 class=\"vf-section-header__heading\">\n            <a class=\"vf-section-header__heading vf-section-header__heading--is-link\"\n               target=\"\"\n               href=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/blog\/category\/career-profiles\/profiles_software_data\/\">\n                Read relevant posts from our blog                <svg aria-hidden=\"true\" class=\"vf-section-header__icon | vf-icon vf-icon-arrow--inline-end\" width=\"24\" height=\"24\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M0 12c0 6.627 5.373 12 12 12s12-5.373 12-12S18.627 0 12 0C5.376.008.008 5.376 0 12zm13.707-5.209l4.5 4.5a1 1 0 010 1.414l-4.5 4.5a1 1 0 01-1.414-1.414l2.366-2.367a.25.25 0 00-.177-.424H6a1 1 0 010-2h8.482a.25.25 0 00.177-.427l-2.366-2.368a1 1 0 011.414-1.414z\" fill=\"\" fill-rule=\"nonzero\"><\/path>\n                <\/svg>\n            <\/a>\n        <\/h2>\n            <\/div>\n    \n<div class=\"vf-grid vf-grid__col-3 | vf-content\">\n\n    \n            \n<article class=\"vf-summary vf-summary--news\" style=\"display: block; display: unset;\">\n  \n  <span class=\"vf-summary__date\" title=\"2020-11-13T15:44:31+00:00\"\n    datetime=\"2020-11-13T15:44:31+00:00\">13 November 2020  <\/span>\n    \n  <h3 class=\"vf-summary__title\">\n    <a href=\"https:\/\/www.embl.org\/about\/info\/embl-fellows-career-service\/blog\/2020\/11\/career-profile-michael-kachala-global-head-of-data-science-at-bayer-consumer-health\/\" class=\"vf-summary__link\">Career Profile: Michael Kachala, Global Head of Data Science at Bayer Consumer Health<\/a>\n  <\/h3>\n    <p class=\"vf-summary__text\">\n    Michael Kachala, Global Head of Data Science at Bayer Consumer Health, tells us about his career path and suggestions for aspiring data scientists.  <\/p>\n    <\/span>\n      \n<\/article>\n\n<!--\/vf-summary-->\n    \n<\/div>\n\n<\/div>\n\n\n\n\n<hr class=\"vf-divider\">\n\n\n\n<div class=\"vf-grid | vf-grid__col-3\"><div 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