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Computational Biologist

Durham, North Carolina
US$100000 - US$120000 per annum + Relocation
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Computational Biologist- Genomic Data Scientist


Durham, NC


$110,000 - $120,000 base salary + relocation + bonus! POSSIBLE INTERNATIONAL TRAVEL

Do you want to be on the cusp of the next big agricultural breakthrough? You can be the driving force to push massive change with driving teams for AI and ML for the entirety of the United States, and alter how food is distributed, grown, and improved in locations globally. Focus on genomic and statistical data to improve the lives of farmers and growers the world over.

THE COMPANY

Based in Durham, a specialized agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources is looking for a team of computational biologists. These members should have expansive Data Science and modeling skills, while being able to bring their knowledge of genomic and genetic data forward for innovation and product advancement. The core business is focusing on building automated decision tools using artificial intelligence and machine learning to drive our complex algorithmic development and work with alternative data sources.

THE ROLE

Aiming to harness the value of our operations team's immense collection of data is a huge business initiative, and the firm wants to hire a highly-skilled Machine Learning Engineer and recent graduate with a knowledge base in genetics to drive innovation for future success. The role is for a collaborative team member who is a deep thinker and will have a powerful voice in driving company growth. They live to create hypotheses, solve problems, and present any and all assumptions back to essential stakeholders by owning the solution from end to end. If you want to consult on the biggest issues across the agricultural world, you're applying to the right role.

You have:

  • Data science experience in a biological area, genetic analysis, genome association, using DNA/RNAseq, molecular genetics, etc,
  • Expertise in machine learning and data mining techniques - Feature engineering, regression, classification, clustering, time series analysis etc.
  • Building prototype code for the integration of new algorithms to exploratory analysis, construct relevant variables and perform sample design
  • Defining data requirements to build complex predictive models to drastically improve business operations
  • Research and development for data-driven analysis on structured and unstructured data sets
  • Act as a key consultant to recommend and develop innovative solutions
  • Analyzing large, complex data sets, solving problems using advanced statistical and Machine Learning techniques ( NLP & Text Mining Experience, predictive modeling, statistical experience)
  • Work collaboratively with engineering and product management teams to flawlessly communicate and present out to stakeholders and clients

YOUR SKILLS AND EXPERIENCE

The successful candidate will likely have the following skills and experience:

  • ONLY CONSIDERING Masters/Ph.D. degrees: in Computational Biology, Biology, Physics, Statistics, or Computer Science, OR RELATED (Preferably from a strong Agriculture or Genetics program)
  • Applied Machine Learning experience on LARGE datasets, with applicable genetic experience
  • Prior experience with advanced Mathematic and statistical modeling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)
  • FLUENT in Python and/or R, Java, Scala programming!
  • Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools like Tableau
  • You are highly team-oriented, focusing on COLLABORATION and INTELLECTUAL CURIOSITY
  • Strong verbal and written STORYTELLING abilities

THE BENEFITS

A competitive base salary of $110,000 - $120,000


***POSSIBLE INTERNATIONAL TRAVEL ***


KEYWORDS

Machine Learning| Python| Tableau| Data Science| Statistics|Agriculture | Genetic Data

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7777777
Durham, North Carolina
US$100000 - US$120000 per annum + Relocation
  1. Permanent
  2. Data science

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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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Data Science Interview Questions: What The Experts Say

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Machine Learning As one will expect, Data Science interviews focus heavily on questions that help the company test your concepts, applications, and experience on machine learning. Each question included in this category has been recently asked in one or more actual Data Science interviews at companies such as Amazon, Google, Microsoft, etc. These questions will give you a good sense of what sub-topics appear more often than others. 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Data pre-processing and data exploration are other areas where you can always expect a few questions. We're grouping all such questions under this category. Data Analysis is the process of evaluating data using analytical and statistical tools to discover useful insights. Once again, all these questions have been recently asked in one or more actual Data Science interviews at the companies listed above.   What are the core steps of the data analysis process?How do you detect if a new observation is an outlier?Facebook wants to analyse why the "likes per user and minutes spent on a platform are increasing, but total number of users are decreasing". How can they do that?If you have a chance to add something to Facebook then how would you measure its success?If you are working at Facebook and you want to detect bogus/fake accounts. 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You interviewer might want you to write a short piece of code on a whiteboard to assess how comfortable you are with coding, as well as get a feel for how many lines of codes you typically write in a given week.  Here are some programming and coding questions that companies like Amazon, Google, and Microsoft have asked in their Data Science interviews.  Write a function to check whether a particular word is a palindrome or not.Write a program to generate Fibonacci sequence.Explain about string parsing in R languageWrite a sorting algorithm for a numerical dataset in Python.Coding test: moving average Input 10, 20, 30, 10, ... Output: 10, 15, 20, 17.5, ...Write a Python code to return the count of words in a stringHow do you find percentile? Write the code for itWhat is the difference between - (i) Stack and Queue and (ii) Linked list and Array? Structured Query Language (SQL) Real-world data is stored in databases and it ‘travels’ via queries. If there's one language a Data Science professional must know, it's SQL - or “Structured Query Language”. SQL is widely used across all job roles in Data Science and is often a ‘deal-breaker’. SQL questions are placed early on in the hiring process and used for screening. Here are some SQL questions that top companies have asked in their Data Science interviews.  How would you handle NULLs when querying a data set?How will you explain JOIN function in SQL in the simplest possible way?Select all customers who purchased at least two items on two separate days from Amazon.What is the difference between DDL, DML, and DCL?96. Why is Database Normalisation Important?What is the difference between clustered and non-clustered index? Situational/Behavioural Questions Capabilities don’t necessarily guarantee performance. It's for this reason employers ask you situational or behavioural questions in order to assess how you would perform in a given situation. In some cases, a situational or behavioural question would force you to reflect on how you behaved and performed in a past situation. A situational question can help interviewers in assessing your role in a project you might have included in your resume, can reveal whether or not you're a team player, or how you deal with pressure and failure. Situational questions are no less important than any of the technical questions, and it will always help to do some homework beforehand. Recall your experience and be prepared!  Here are some situational/behavioural questions that large tech companies typically ask:    What was the most challenging project you have worked on so far? Can you explain your learning outcomes?According to your judgement, does Data Science differ from Machine Learning?If you're faced with Selection Bias, how will you avoid it?How would you describe Data Science to a Business Executive? If you're looking for new Data Science role, you can find our latest opportunities here.  This article was written by Tooba Mukhtar and Rahim Rasool for Data Science Jojo. It has been republished with permission. You can view the original article, which includes answers to the above questions here. 

Guest Blog

Guest Blog

22. August 2019

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The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

David Farmer

David Farmer

10. June 2019

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