The Biogen Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Biogen Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Biogen? The Biogen Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Biogen Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Biogen.</li>
<li>Practice real Biogen Business Intelligence interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Biogen Business Intelligence interview.</p>


Getting ready for an Business Intelligence interview at Biogen? The Biogen Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Biogen Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Biogen.
- Practice real Biogen Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Biogen Business Intelligence interview.
        

Overview

Biogen Business Intelligence Salary

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Biogen Business Intelligence Interview Process

<p>We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.</p>

<p>Write a query to get the total three-day rolling average for deposits by day.</p>

<p><em>Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>bank_transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Rolling Bank Transactions

<p>What are the logistic and softmax functions? What is the difference between the two?</p>

<p>What makes them useful for use in logistic regression?</p>


<p>In logistic regression, how is the predicted class determined based on the logistic function?</p>


In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

<p>What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?</p>


What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

<p>Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>users</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<p> 
<strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>


<p>Which of the following queries will return a list of customers and the total amount they have spent on orders?</p>


Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

Biogen Business Intelligence Interview Questions

<p>Company Description Job Description About This Role Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them. In the Quantitative Sciences Development Organization, we aspire to transform patients' lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment. We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care. What You'll Do As a Machine Learning Engineer - Omics & Patient Data Integration, you will: Integrate omics data (genomics, transcriptomics, proteomics, etc.) with real-world data sources (large-scale biomedical data, patient registries, EHRs, etc.) to develop and implement advanced statistical and machine learning models to support decision-making in clinical trials. Support integration, design and development of novel measures, models, and metrics to assess model validity and performance in both training and inference stages. Communicate findings and insights through clear and concise reports, presentations, and visualizations. Collaborate closely with cross-functional teams, including clinical researchers, biostatisticians, and IT specialists, to ensure data quality and integrity. Who You Are You are passionate about exploring and establishing new methods for looking at data across devices, applications, data streams, and diseases. You love figuring out how to create mathematical and statistical models that relate human biology, clinical development to business outcomes and patient needs. Qualifications Required Skills > 5 years Pharma/Biotech/Tech/Healthcare industry experience, alternatively extensive experience in academic/clinical centers of excellence Proven experience in developing and deploying machine learning models and statistical analysis, preferably in the context of omics data and healthcare applications Expertise in leveraging omics data along with electronic health records and other data sources derived from clinical care via state-of-the-art methodologies, programming languages, and tools. Experience in managing complex, interdisciplinary research, and development projects, especially in the fields of software and technology implementation Profound experience in data science, machine learning, and data engineering programming using R and Python and higher-level libraries such as tidyverse, ggplot, mlr, tidymodels, numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly or similar Preferred Skills Experienced in communicating and building consensus on difficult or sensitive information with technology and business teams Familiarity and experience working on machine learning and data science problems using formal software development lifecycle approaches and best practices Formal application of principles of empirical science including statistical modeling, design of experiments, and hypothesis formulation and testing Advanced degree quantitative science such as statistics, applied mathematics or computational biology Additional Information The base compensation range for this role is $107,000 - $171,000. Base salary is determined by a combination of factors including, but not limited to, job related years of relevant experience, internal equity, and location of the job. Additionally, this role is eligible for participation in Biogen's LTI grants and other incentive programs. Biogen offers a full range of benefits that include medical, dental, life, long and short-term disability insurances, vacation, end-of-year shutdown, and 401K participation and matching contributions. Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States. Videos To Watch https://youtu.be/S8n1OGEJWr0</p>

Biogen Business Intelligence Interview Guide

Overview

Biogen Business Intelligence Salary

Biogen Business Intelligence Interview Process

Biogen Business Intelligence Interview Questions

Biogen Business Intelligence Jobs